Triple

T14364817
Position Surface form Disambiguated ID Type / Status
Subject Çankırı E356203 entity
Predicate formerName P65 FINISHED
Object Gangra E877565 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: Gangra | Statement: [Çankırı, formerName, Gangra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangra
Context triple: [Çankırı, formerName, Gangra]
  • A. Gangra chosen
    Gangra is an ancient city in Paphlagonia, in what is now north-central Turkey, historically significant as a regional administrative and ecclesiastical center.
  • B. Gangi
    Gangi is a historic hilltop town in Sicily, Italy, renowned for its medieval architecture and picturesque views over the Madonie mountains.
  • C. Ragiwara
    Ragiwara is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
  • D. Igaliku
    Igaliku is a small, historic settlement in southern Greenland known for its scenic fjord landscape and nearby Norse ruins.
  • E. Gorikai
    Gorikai is a central sacred text of the Japanese Konkokyo religion, containing the teachings and revelations of its founder.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4cb0c4819094d59b4b1d43588b completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.