Triple

T12450833
Position Surface form Disambiguated ID Type / Status
Subject Dumlupınar E297526 entity
Predicate hasNearbyCity P350 FINISHED
Object Afyonkarahisar E315499 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: Afyonkarahisar | Statement: [Dumlupınar, hasNearbyCity, Afyonkarahisar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afyonkarahisar
Context triple: [Dumlupınar, hasNearbyCity, Afyonkarahisar]
  • A. Afyonkarahisar chosen
    Afyonkarahisar is a historic city in western Turkey known for its strategic location, thermal springs, and prominent rock fortress overlooking the urban center.
  • B. Şereflikoçhisar
    Şereflikoçhisar is a district and town in central Turkey known for its proximity to the vast Tuz Gölü (Salt Lake) and its salt production.
  • C. Koyulhisar
    Koyulhisar is a town and district in central Turkey known for its mountainous terrain and location within the historical region of Sivas.
  • D. Seferihisar
    Seferihisar is a coastal town in Turkey’s İzmir Province, known as one of the country’s first officially designated “Cittaslow” (slow city) communities.
  • E. Sancaktepe
    Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9fa5f0819080ca9f6efa212c59 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556839908190ac0401d373ad0fa9 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.