Triple

T8096723
Position Surface form Disambiguated ID Type / Status
Subject Iran Daylight Time E189003 entity
Predicate observedInCity P4810 FINISHED
Object Khorramabad E235291 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: Khorramabad | Statement: [Iran Daylight Time, observedInCity, Khorramabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khorramabad
Context triple: [Iran Daylight Time, observedInCity, Khorramabad]
  • A. Khorramabad chosen
    Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
  • B. Mahabad
    Mahabad is a city in northwestern Iran known for its significant Kurdish population and its historical role as the center of Kurdish political movements.
  • C. 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.
  • D. 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.
  • E. Kermanshah
    Kermanshah is a major city in western Iran known for its rich Kurdish culture and proximity to important historical and archaeological sites.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf8855a9c081909721a2efdc06d778 completed April 3, 2026, 9:28 a.m.
Created at: March 30, 2026, 5:30 p.m.