Triple

T8255995
Position Surface form Disambiguated ID Type / Status
Subject Lake Van E193071 entity
Predicate locatedIn P40 FINISHED
Object Ağrı Province E394822 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: Ağrı Province | Statement: [Lake Van, locatedIn, Ağrı Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ağrı Province
Context triple: [Lake Van, locatedIn, Ağrı Province]
  • A. Ağrı Province chosen
    Ağrı Province is a mountainous region in eastern Turkey best known as the location of Mount Ararat, the country’s highest and most iconic peak.
  • B. Elazığ Province
    Elazığ Province is an eastern Turkish province known for its significant Zaza-speaking population, rich Anatolian history, and mountainous landscapes.
  • C. Tunceli Province
    Tunceli Province is a mountainous and sparsely populated region in eastern Turkey known for its significant Alevi and Zaza Kurdish population and its rugged natural landscapes.
  • D. Sivas Province
    Sivas Province is a large, historically significant region in central Turkey known for its diverse ethnic makeup, including Zazaki-speaking communities, and its role as a cultural and transportation crossroads in Anatolia.
  • E. Bingöl Province
    Bingöl Province is an eastern Turkish province known for its mountainous landscape, Kurdish and Zaza populations, and rich local culture.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78f9f680819088f1d56e0f98974f completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd681457908190b39fa034e9ca05d5 completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:49 p.m.