Triple

T5300367
Position Surface form Disambiguated ID Type / Status
Subject Awadhi E119962 entity
Predicate ISO639-3Code P208 FINISHED
Object awa
awa is the ISO 639-3 code for Awadhi, an Indo-Aryan language spoken primarily in northern India and parts of Nepal.
E509806 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: awa | Statement: [Awadhi, ISO639-3Code, awa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: awa
Context triple: [Awadhi, ISO639-3Code, awa]
  • A. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • B. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • C. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • D. Orawa
    Orawa is a historical and ethnographic region in southern Poland known for its distinctive highland culture, folklore, and traditional wooden architecture.
  • E. Aar
    Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
  • 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: awa
Triple: [Awadhi, ISO639-3Code, awa]
Generated description
awa is the ISO 639-3 code for Awadhi, an Indo-Aryan language spoken primarily in northern India and parts of Nepal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: awa
Target entity description: awa is the ISO 639-3 code for Awadhi, an Indo-Aryan language spoken primarily in northern India and parts of Nepal.
  • A. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • B. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • C. Wat
    Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
  • D. Orawa
    Orawa is a historical and ethnographic region in southern Poland known for its distinctive highland culture, folklore, and traditional wooden architecture.
  • E. Aar
    Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd850877688190a611d6293ca58d94 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ec33ac819083d283e960a049af completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11c162f48190bdc56fea62575643 completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf1237a644819081b1f1013e23cc66 completed March 21, 2026, 9:48 p.m.
Created at: March 20, 2026, 1:53 p.m.