Triple

T14602888
Position Surface form Disambiguated ID Type / Status
Subject Central Iran E342747 entity
Predicate containsCity P294 FINISHED
Object Natanz E1081384 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: Natanz | Statement: [Central Iran, containsCity, Natanz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natanz
Context triple: [Central Iran, containsCity, Natanz]
  • A. Natanz chosen
    Natanz is a town in central Iran’s Isfahan Province, known both for its historic architecture and for hosting one of the country’s key nuclear facilities.
  • B. Tandava
    Tandava is the vigorous, cosmic dance of the Hindu god Shiva, symbolizing creation, preservation, and destruction of the universe.
  • C. Tanza
    Tanza is a coastal municipality in the province of Cavite in the Philippines, known for its historical significance and growing residential and industrial communities.
  • D. Judba
    Judba is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and political center of Torghar District.
  • E. Kitri
    Kitri is the spirited village girl and female lead in the classical ballet Don Quixote, renowned for her fiery personality and virtuosic dancing.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43a1bb48190bf520cb961f15b5e completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ce6c208190a732f1a25700f07c completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.