Triple

T12807949
Position Surface form Disambiguated ID Type / Status
Subject Akşehir E306192 entity
Predicate nearbyMajorCity P1982 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: [Akşehir, nearbyMajorCity, Afyonkarahisar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afyonkarahisar
Context triple: [Akşehir, nearbyMajorCity, 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b95e4dc8190adc0bf9154971028 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.