Triple

T7767103
Position Surface form Disambiguated ID Type / Status
Subject Hatay Province E178976 entity
Predicate wasPartOf P35 FINISHED
Object Hatay State E178976 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: Hatay State | Statement: [Hatay Province, wasPartOf, Hatay State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatay State
Context triple: [Hatay Province, wasPartOf, Hatay State]
  • A. Hatay Province chosen
    Hatay Province is a southern Turkish province on the Mediterranean coast, known for its multicultural heritage, ancient cities, and strategic location bordering Syria.
  • B. Isparta Province
    Isparta Province is an inland region of southwestern Turkey known for its rose cultivation, lakes, and agricultural production.
  • C. Gaziantep Province
    Gaziantep Province is a region in southeastern Turkey known for its historic city of Gaziantep, rich culinary traditions, and strong industrial and educational development.
  • D. Mersin Province
    Mersin Province is a coastal region in southern Turkey on the Mediterranean Sea, known for its major port city of Mersin and its rich historical and agricultural significance.
  • E. Konya Province
    Konya Province is a large administrative region in central Turkey known for its historical significance, agricultural productivity, and the city of Konya as its cultural and economic center.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7043451bc8190a76ee066b779b7d7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9062001f08190a12265cb518863e1 completed March 29, 2026, 10:59 a.m.
Created at: March 27, 2026, 4:11 p.m.