Triple

T10321761
Position Surface form Disambiguated ID Type / Status
Subject Van Vilayet E242152 entity
Predicate contains 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: [Van Vilayet, contains, Erciş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erciş
Context triple: [Van Vilayet, contains, 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. Kalecik
    Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
  • C. Muratlı
    Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
  • D. Kırcaali
    Kırcaali (Kardzhali) is a city in southern Bulgaria known as a regional center in the Eastern Rhodope Mountains with a significant historical Turkish population.
  • E. Yusufeli
    Yusufeli is a small mountainous town and district in Artvin Province in northeastern Turkey, known for its rugged landscape and proximity to the Çoruh River.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cce38c8190bfa0f2fb53ed0065 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f45e8c0819091f9397619354882 completed April 10, 2026, 6:57 a.m.
Created at: April 6, 2026, 11:50 a.m.