Triple

T29197717
Position Surface form Disambiguated ID Type / Status
Subject Sharifabad District E740172 entity
Predicate hasParentProvince P98125 FINISHED
Object Tehran 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: Tehran Province | Statement: [Sharifabad District, hasParentProvince, Tehran Province]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParentProvince
Context triple: [Sharifabad District, hasParentProvince, Tehran Province]
  • A. hasHomeProvinceOrState
    Indicates that an entity is associated with a particular province or state as its home or primary regional location.
  • B. hasProvinceOrRegion chosen
    Indicates that one entity includes, is associated with, or is located within a specific province or region as an administrative or geographic subdivision.
  • C. hasProvinceType
    Indicates that an entity is associated with a province classified by a specific type or category.
  • D. hasProvinceEquivalent
    Indicates that one administrative division is equivalent in status or function to a province within a given political or territorial system.
  • E. isProvinceOf
    Indicates that one region holds the administrative status of a province within, and is governed as a subnational division of, another political entity.
  • F. None of above.

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_69f07cb8033c8190b8807e219a14333d completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69fd509e6bc08190b263923c2f40fea3 completed May 8, 2026, 2:55 a.m.
PD Predicate disambiguation batch_69fd4fd1a58881909d4b84de1b24e380 completed May 8, 2026, 2:52 a.m.
Created at: April 28, 2026, 12:04 p.m.