Triple

T18934495
Position Surface form Disambiguated ID Type / Status
Subject Cihanbeyli E463205 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Cihanbeyli town 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: Cihanbeyli town | Statement: [Cihanbeyli, hasAdministrativeCenter, Cihanbeyli town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cihanbeyli town
Context triple: [Cihanbeyli, hasAdministrativeCenter, Cihanbeyli town]
  • A. Cihanbeyli chosen
    Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
  • B. Tuzlukçu town
    Tuzlukçu town is a small municipal settlement in Turkey that serves as the local administrative and population center of the Tuzlukçu district.
  • C. Kağızman town
    Kağızman town is a small settlement in northeastern Turkey’s Kars Province, known for its agricultural production and its location along the Aras River valley.
  • D. Poyrazköy
    Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
  • E. Reyhanlı
    Reyhanlı is a town and district in southern Turkey near the Syrian border, known for its strategic location and cross-border trade and tensions.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e57e648190aa4d3b09e84d4d38 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.