Triple

T10794820
Position Surface form Disambiguated ID Type / Status
Subject Zanjan Province E254676 entity
Predicate hasCity P316 FINISHED
Object Zanjan E238337 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: Zanjan | Statement: [Zanjan Province, hasCity, Zanjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zanjan
Context triple: [Zanjan Province, hasCity, Zanjan]
  • A. Zanjan chosen
    Zanjan is a city in northwestern Iran that serves as the capital of Zanjan Province and is known for its traditional handicrafts, historical sites, and proximity to the Soltaniyeh Dome.
  • B. Qazvin
    Qazvin is a historic city in northwestern Iran known for its rich cultural heritage, traditional architecture, and role as a former capital of the Persian Empire.
  • C. Hamadan
    Hamadan is an ancient city in western Iran, historically significant as a major center of Persian Jewish life and one of the oldest continuously inhabited cities in the region.
  • D. Karaj
    Karaj is a major city in north-central Iran, located just west of Tehran and serving as an important industrial and residential hub in the Alborz province.
  • E. Mazanderani
    Mazanderani is a Northwestern Iranian language spoken along Iran’s Caspian Sea coast, particularly in Mazandaran 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f671788ec88190852df74698bc4518 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:17 p.m.