Triple

T20747651
Position Surface form Disambiguated ID Type / Status
Subject Darıca E510627 entity
Predicate locatedNear P294 FINISHED
Object Çayırova 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: Çayırova | Statement: [Darıca, locatedNear, Çayırova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Çayırova
Context triple: [Darıca, locatedNear, Çayırova]
  • A. Çayırova chosen
    Çayırova is a district and rapidly growing industrial-urban area located in Kocaeli Province in northwestern Turkey.
  • B. Kırcaali
    Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
  • C. Kuyucak
    Kuyucak is a town and district in western Turkey, located within Aydın Province and known for its agricultural production and proximity to natural and historical sites.
  • D. Ceylanpınar
    Ceylanpınar is a town and district in southeastern Turkey, located on the Syrian border and known for its large state-owned agricultural enterprises.
  • E. Havza
    Havza is a district and town in northern Turkey known for its thermal springs and location within Samsun Province in the Black Sea region.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.