Triple

T3042456
Position Surface form Disambiguated ID Type / Status
Subject Salyr dialect E83161 entity
Predicate languageCode P15 FINISHED
Object tk (macrolanguage)
tk (macrolanguage) is the ISO 639-1/2/3 code for the Turkmen language, a Turkic macrolanguage spoken primarily in Turkmenistan and surrounding regions.
E320993 NE FINISHED

How this triple was built (4 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: tk (macrolanguage) | Statement: [Salyr dialect, languageCode, tk (macrolanguage)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: tk (macrolanguage)
Context triple: [Salyr dialect, languageCode, tk (macrolanguage)]
  • A. TK
    TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
  • B. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • C. .tf
    .tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
  • D. TXL
    TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • E. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • 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: tk (macrolanguage)
Triple: [Salyr dialect, languageCode, tk (macrolanguage)]
Generated description
tk (macrolanguage) is the ISO 639-1/2/3 code for the Turkmen language, a Turkic macrolanguage spoken primarily in Turkmenistan and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: tk (macrolanguage)
Target entity description: tk (macrolanguage) is the ISO 639-1/2/3 code for the Turkmen language, a Turkic macrolanguage spoken primarily in Turkmenistan and surrounding regions.
  • A. TK
    TK is the two-letter IATA airline designator used to identify Turkish Airlines in global aviation systems.
  • B. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • C. .tf
    .tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
  • D. TXL
    TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • E. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • F. None of above. chosen

Provenance (5 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b5d2a308190b4ce20efcae9b761 completed March 8, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded35e008190be7dd72aa7537a3b completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1dfa2fb28819089d7d76d9dc72e06 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1e0243a848190bce24d035a79fc0a completed March 11, 2026, 9:35 p.m.
Created at: March 8, 2026, 3:01 p.m.