Triple

T21144830
Position Surface form Disambiguated ID Type / Status
Subject Aras Dam E521025 entity
Predicate locatedNear P294 FINISHED
Object Jolfa NE NERFINISHED

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: [Aras Dam, locatedNear, Jolfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jolfa
Context triple: [Aras Dam, locatedNear, 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. Lahij
    Lahij is a historic town in southwestern Yemen known for its role as an administrative and cultural center in the region.
  • C. Safsufa
    Safsufa is a small village in northern Israel, located in the Upper Galilee region near Mount Meron.
  • D. Savena
    Savena is a river in northern Italy that flows through the Emilia-Romagna region, including the area near Bologna.
  • E. Derweze
    Derweze is a small village in Turkmenistan’s Karakum Desert best known as the location of the burning natural gas crater nicknamed the “Door to Hell.”
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fcdb7c8190ae04d6ad9dff3187 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.