Triple

T8438918
Position Surface form Disambiguated ID Type / Status
Subject Islamshahr County E199299 entity
Predicate hasCity P316 FINISHED
Object Islamshahr E709256 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: Islamshahr | Statement: [Islamshahr County, hasCity, Islamshahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Islamshahr
Context triple: [Islamshahr County, hasCity, Islamshahr]
  • A. Istakhr
    Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
  • B. Eslamshahr chosen
    Eslamshahr is a city in Tehran Province, Iran, forming part of the southwestern suburban area of the capital Tehran.
  • C. Iranshahr
    Iranshahr is a city in southeastern Iran known as an administrative and cultural center within the Sistan and Baluchestan region.
  • D. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • E. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe135657c81908ed8156fbfbef6ec completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1524be8c08190b4d979a677dc5958 completed April 4, 2026, 6:02 p.m.
Created at: March 30, 2026, 6:08 p.m.