Triple

T4526863
Position Surface form Disambiguated ID Type / Status
Subject Konya Province E106200 entity
Predicate borderedBy P224 FINISHED
Object Karaman Province E344697 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: Karaman Province | Statement: [Konya Province, borderedBy, Karaman Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaman Province
Context triple: [Konya Province, borderedBy, Karaman Province]
  • A. Kahramanmaraş Province
    Kahramanmaraş Province is an administrative region in southern Turkey known for its historic city of Kahramanmaraş and its famous Maraş ice cream.
  • B. Kütahya Province
    Kütahya Province is an inland province of western Turkey known for its rich Ottoman-era heritage, ceramics tradition, and location at the crossroads of the Aegean and Central Anatolian regions.
  • 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. Osmaniye Province
    Osmaniye Province is a region in southern Turkey known for its agricultural economy, historical sites, and location near the Mediterranean coast.
  • E. Karaman chosen
    Karaman is a historic city in south-central Turkey known for its role in the Karamanid beylik and its rich Seljuk and Ottoman architectural heritage.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe41822c8190b406c192170af3d1 completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:03 p.m.