Triple

T13251543
Position Surface form Disambiguated ID Type / Status
Subject Gençlerbirliği S.K. E315542 entity
Predicate fifaCountryCode P6278 FINISHED
Object TUR
TUR is the FIFA country code for Turkey, a transcontinental nation whose football teams compete in UEFA competitions.
E1031018 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: TUR | Statement: [Gençlerbirliği S.K., fifaCountryCode, TUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUR
Context triple: [Gençlerbirliği S.K., fifaCountryCode, TUR]
  • A.
    TÜ is the official vehicle registration code used on license plates for the district of Tübingen in Germany.
  • B. Tur
    Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
  • C. TURKPA
    TURKPA is a regional interparliamentary organization that brings together the legislative bodies of Turkic-speaking countries to promote political dialogue, cooperation, and integration.
  • D. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • E. TR
    TR is the postcode area covering Truro and much of Cornwall in southwest England.
  • 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: TUR
Triple: [Gençlerbirliği S.K., fifaCountryCode, TUR]
Generated description
TUR is the FIFA country code for Turkey, a transcontinental nation whose football teams compete in UEFA competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TUR
Target entity description: TUR is the FIFA country code for Turkey, a transcontinental nation whose football teams compete in UEFA competitions.
  • A.
    TÜ is the official vehicle registration code used on license plates for the district of Tübingen in Germany.
  • B. Tur
    Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
  • C. TURKPA
    TURKPA is a regional interparliamentary organization that brings together the legislative bodies of Turkic-speaking countries to promote political dialogue, cooperation, and integration.
  • D. TR
    TR is the postcode area covering Truro and much of Cornwall in southwest England.
  • E. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f73423c8190932a9edac56df383 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3b8ca48190863aff25f12d0e7e completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:24 p.m.