Triple

T22731719
Position Surface form Disambiguated ID Type / Status
Subject Lake Van region E562149 entity
Predicate hasPart P35 FINISHED
Object Erciş E742816 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: Erciş | Statement: [Lake Van region, hasPart, Erciş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erciş
Context triple: [Lake Van region, hasPart, Erciş]
  • A. Erciş chosen
    Erciş is a town and district in Turkey’s Van Province, known for its location on the northern shore of Lake Van and its role as a regional commercial and cultural center.
  • B. Birecik
    Birecik is a historic town on the banks of the Euphrates River in southeastern Turkey, known for its ancient fortress and as a habitat of the endangered northern bald ibis.
  • C. Kalecik
    Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
  • D. Suşehri
    Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
  • E. Muratlı
    Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1792de040819093aa904bf751a788 completed April 29, 2026, 3:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fca5f10819083604273aae3fcc3 completed May 18, 2026, 10:16 p.m.
Created at: April 17, 2026, 3:21 p.m.