Triple

T13769207
Position Surface form Disambiguated ID Type / Status
Subject Adnan Adıvar E330831 entity
Predicate familyName P18 FINISHED
Object Adıvar E319487 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: Adıvar | Statement: [Adnan Adıvar, familyName, Adıvar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adıvar
Context triple: [Adnan Adıvar, familyName, Adıvar]
  • A. Adıvar chosen
    Adıvar is a Turkish surname most prominently associated with the influential novelist, feminist, and nationalist figure Halide Edib Adıvar.
  • B. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • C. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • D. Malkara
    Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
  • E. Yusufeli
    Yusufeli is a small mountainous town and district in Artvin Province in northeastern Turkey, known for its rugged landscape and proximity to the Çoruh River.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.