Triple

T14737390
Position Surface form Disambiguated ID Type / Status
Subject North Khorasan Province E346248 entity
Predicate containsCity P294 FINISHED
Object Esfarayen E806405 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: Esfarayen | Statement: [North Khorasan Province, containsCity, Esfarayen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esfarayen
Context triple: [North Khorasan Province, containsCity, Esfarayen]
  • A. Esfarayen chosen
    Esfarayen is a city in North Khorasan Province in northeastern Iran, known for its historical background and regional agricultural activities.
  • B. Oshnavieh
    Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
  • C. Farashband
    Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
  • D. Zafaraniyeh
    Zafaraniyeh is an affluent residential neighborhood in northern Tehran, Iran, known for its upscale homes and proximity to the Alborz mountains.
  • E. Abadeh
    Abadeh is a city in southern Iran known as a regional center in Fars Province, noted for its traditional handicrafts and strategic location on the route between Shiraz and Isfahan.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce6514c8190a37b023dcc0c1b1a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:29 a.m.