Triple

T9476611
Position Surface form Disambiguated ID Type / Status
Subject Al bayrak E228531 entity
Predicate alsoKnownAs P39 FINISHED
Object Ay yıldız E228530 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: Ay yıldız | Statement: [Al bayrak, alsoKnownAs, Ay yıldız]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ay yıldız
Context triple: [Al bayrak, alsoKnownAs, Ay yıldız]
  • A. Ay yıldız chosen
    Ay yıldız is the crescent-and-star emblem that serves as the central symbol of the Turkish national flag and a broader icon of Turkey.
  • B. The Star
    The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
  • C. The Star
    The Star is a mixed-use development in Frisco, Texas that serves as the Dallas Cowboys’ headquarters and practice facility, surrounded by retail, dining, and entertainment venues.
  • D. The Star
    The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
  • E. The Star
    The Star is a famous ballet-themed painting by Edgar Degas that captures a lone ballerina mid-performance under the stage lights, exemplifying his interest in movement, theater, and modern urban life.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd80127744819082176b2d4417216e completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122dbd4948190af434d1e0a281f35 completed April 4, 2026, 2:40 p.m.
Created at: March 30, 2026, 7:54 p.m.