Triple

T10792499
Position Surface form Disambiguated ID Type / Status
Subject Kayseri Province E254615 entity
Predicate borders 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: [Kayseri Province, borders, Yozgat Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yozgat Province
Context triple: [Kayseri Province, borders, 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84f1fdfc8190a31a13ae434e56c1 completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:17 p.m.