Triple

T20853766
Position Surface form Disambiguated ID Type / Status
Subject Danishmend Emirate E513426 entity
Predicate notableRuler P22 FINISHED
Object Yağıbasan NE NERFINISHED

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: Yağıbasan | Statement: [Danishmend Emirate, notableRuler, Yağıbasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yağıbasan
Context triple: [Danishmend Emirate, notableRuler, Yağıbasan]
  • A. Yağıbasan chosen
    Yağıbasan was a prominent 12th-century ruler of the Danishmendid dynasty in Anatolia, known for his political influence and patronage of architecture and learning.
  • B. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • C. Gürsu
    Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
  • D. Yakapınar
    Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
  • E. Keban
    Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a6015081909f604a88d04b36ea completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.