Triple

T14061450
Position Surface form Disambiguated ID Type / Status
Subject Sahand Mountain foothills E338355 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Azarshahr E952071 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: Azarshahr | Statement: [Sahand Mountain foothills, hasNearbySettlement, Azarshahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azarshahr
Context triple: [Sahand Mountain foothills, hasNearbySettlement, Azarshahr]
  • A. Azarshahr chosen
    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.
  • B. Piranshahr
    Piranshahr is a predominantly Kurdish city in northwestern Iran known for its mountainous surroundings and role as a regional commercial 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. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • E. Nurabad
    Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3017808190a44087056ba6a472 completed May 9, 2026, 10:23 a.m.
Created at: April 9, 2026, 10:21 p.m.