Triple

T14169709
Position Surface form Disambiguated ID Type / Status
Subject Kırşehir Province E351173 entity
Predicate borderedBy P224 FINISHED
Object Yozgat Province E880728 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: Yozgat Province | Statement: [Kırşehir Province, borderedBy, Yozgat Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yozgat Province
Context triple: [Kırşehir Province, borderedBy, Yozgat Province]
  • A. Yozgat Province chosen
    Yozgat Province is a landlocked administrative region in central Turkey known for its rural landscapes, agriculture, and location within the Central Anatolia Region.
  • B. Siirt Province
    Siirt Province is a predominantly Kurdish-inhabited province in southeastern Turkey known for its mountainous terrain, traditional culture, and production of items like Siirt blanket and pistachios.
  • C. Urgun District
    Urgun District is an administrative district in southeastern Afghanistan known for its strategic location and role within Paktika Province.
  • D. Töv Province
    Töv Province is a central Mongolian administrative region surrounding the national capital, Ulaanbaatar, and serving as a key political and transportation hub.
  • E. Murzuq District
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.