Triple

T10803942
Position Surface form Disambiguated ID Type / Status
Subject Parliamentary Assembly of Turkic States E254913 entity
Predicate abbreviation P43 FINISHED
Object TURKPA E886612 NE FINISHED

How this triple was built (2 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: TURKPA | Statement: [Parliamentary Assembly of Turkic States, abbreviation, TURKPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TURKPA
Context triple: [Parliamentary Assembly of Turkic States, abbreviation, TURKPA]
  • A. TURKPA chosen
    TURKPA is a regional interparliamentary organization that brings together the legislative bodies of Turkic-speaking countries to promote political dialogue, cooperation, and integration.
  • B. Turkmeneli
    Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
  • C.
    TÜ is the official vehicle registration code used on license plates for the district of Tübingen in Germany.
  • D. Shaz Turkic
    Shaz Turkic is a major subgroup of the Turkic language family that includes languages such as Turkish, Azerbaijani, and Turkmen, characterized by shared phonological and lexical features.
  • E. Ankarakart
    Ankarakart is a contactless smart card used as the primary public transportation payment system in Ankara, Turkey.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de850209ac8190a7bf3a6d429d1217 completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:18 p.m.