Triple

T15477086
Position Surface form Disambiguated ID Type / Status
Subject Gilan Province E376809 entity
Predicate bordersProvince P224 FINISHED
Object Zanjan Province 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: Zanjan Province | Statement: [Gilan Province, bordersProvince, Zanjan Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zanjan Province
Context triple: [Gilan Province, bordersProvince, Zanjan Province]
  • A. Zanjan Province chosen
    Zanjan Province is a northwestern region of Iran known for its Azerbaijani-speaking population, traditional handicrafts, and historical sites.
  • B. Qazvin Province
    Qazvin Province is a region in northwestern Iran known for its historical city of Qazvin, rich cultural heritage, and strategic location along major transit routes.
  • C. Razavi Khorasan Province
    Razavi Khorasan Province is a large northeastern region of Iran known for its religious significance as the location of the holy city of Mashhad and the shrine of Imam Reza.
  • D. Chahar Province
    Chahar Province was a former province of northern China that historically encompassed parts of what are now Hebei and Inner Mongolia and served as a strategic frontier region.
  • E. Semnan Province
    Semnan Province is a large, sparsely populated region in north-central Iran known for its deserts, historical caravan routes, and location along the main road and rail corridor between Tehran and northeastern Iran.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
Created at: April 10, 2026, 3:34 a.m.