Triple

T793967
Position Surface form Disambiguated ID Type / Status
Subject Ottoman Turkish E16975 entity
Predicate languageCodeISO6393 P8719 FINISHED
Object ota
ota is the ISO 639-3 language code for Ottoman Turkish, the historical Turkic language of the Ottoman Empire.
E93663 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ota | Statement: [Ottoman Turkish, languageCodeISO6393, ota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ota
Context triple: [Ottoman Turkish, languageCodeISO6393, ota]
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • C. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • D. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • E. TCH
    TCH was the International Ice Hockey Federation (IIHF) country code used to represent the Czechoslovakia men's national ice hockey team in international competition.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ota
Triple: [Ottoman Turkish, languageCodeISO6393, ota]
Generated description
ota is the ISO 639-3 language code for Ottoman Turkish, the historical Turkic language of the Ottoman Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ota
Target entity description: ota is the ISO 639-3 language code for Ottoman Turkish, the historical Turkic language of the Ottoman Empire.
  • A. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • B. TOR
    TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
  • C. Moto
    Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
  • D. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • E. TCH
    TCH was the International Ice Hockey Federation (IIHF) country code used to represent the Czechoslovakia men's national ice hockey team in international competition.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageCodeISO6393
Context triple: [Ottoman Turkish, languageCodeISO6393, ota]
  • A. languageCodeISO639-2
    Indicates that an entity is associated with a language identified by its ISO 639-2 three-letter code.
  • B. languageCodeISO639-1
    Indicates that the subject entity is associated with the specified two-letter ISO 639-1 language code.
  • C. hasISO6393Code chosen
    Indicates that a language or linguistic entity is associated with a specific ISO 639-3 three-letter language code.
  • D. languageFamilyCode
    Indicates the language family to which a given language belongs, represented by a standardized code.
  • E. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79b976c819085cd381bbd597ca5 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a678828f848190bbd511eb277db4ef completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678f06b608190bb9dfe18289f8548 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a6796abcd88190b7660d751704b18d completed March 3, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69a4a510f61881909175d6d8719246cd completed March 1, 2026, 8:44 p.m.
Created at: March 1, 2026, 7:38 p.m.