Triple

T10689380
Position Surface form Disambiguated ID Type / Status
Subject Ardabil Province E251967 entity
Predicate hasCity P316 FINISHED
Object Meshgin Shahr E307005 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: Meshgin Shahr | Statement: [Ardabil Province, hasCity, Meshgin Shahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meshgin Shahr
Context triple: [Ardabil Province, hasCity, Meshgin Shahr]
  • A. Meshginshahr chosen
    Meshginshahr is a city in northwestern Iran known for its proximity to Mount Sabalan and its hot springs.
  • B. Azarshahr
    Azarshahr is a city in northwestern Iran known for its location within East Azerbaijan Province and its role as a local administrative and economic center.
  • C. Neyshabur
    Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
  • D. Nahavand
    Nahavand is a historic city in western Iran known as the site of a decisive 7th-century battle that contributed to the fall of the Sasanian Empire.
  • E. Juybar
    Juybar is a small city in northern Iran known for its location in the fertile, Caspian coastal region of Mazandaran.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd1aef888190ba92474af3a49e36 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69f63449892881909d361815cbfcdee5 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:11 p.m.