Triple

T10540298
Position Surface form Disambiguated ID Type / Status
Subject East Azerbaijan Province E248676 entity
Predicate containsCity P294 FINISHED
Object Jolfa E805917 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: Jolfa | Statement: [East Azerbaijan Province, containsCity, Jolfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jolfa
Context triple: [East Azerbaijan Province, containsCity, Jolfa]
  • A. Jolfa chosen
    Jolfa is a border city in northwestern Iran, situated along the Aras River near the frontier with Armenia and Azerbaijan, known as a regional trade and transit hub.
  • B. Safsufa
    Safsufa is a small village in northern Israel, located in the Upper Galilee region near Mount Meron.
  • C. Suleja
    Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
  • D. Jalalaqsi
    Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
  • E. Gulval
    Gulval is a small village in Cornwall, England, situated just outside the town of Penzance and known for its historic church and rural character.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a582be48190856c6f272eea4dcf completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9341d96c08190a6ba644b9acfe2c8 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.