Triple

T8096743
Position Surface form Disambiguated ID Type / Status
Subject Karaj Dam E189004 entity
Predicate locatedIn P40 FINISHED
Object Alborz Province E189002 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: Alborz Province | Statement: [Karaj Dam, locatedIn, Alborz Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alborz Province
Context triple: [Karaj Dam, locatedIn, Alborz Province]
  • A. Alborz Province chosen
    Alborz Province is a small but densely populated province in northern Iran, located just west of Tehran and known for its mountainous terrain and proximity to the capital.
  • B. Razavi Khorasan Province
    Razavi Khorasan Province is a large northeastern region of Iran known for its religious significance as the location of the holy city of Mashhad and the shrine of Imam Reza.
  • C. Zanjan Province
    Zanjan Province is a northwestern region of Iran known for its Azerbaijani-speaking population, traditional handicrafts, and historical sites.
  • D. Qazvin Province
    Qazvin Province is a region in northwestern Iran known for its historical city of Qazvin, rich cultural heritage, and strategic location along major transit routes.
  • E. Mazandaran Province
    Mazandaran Province is a lush, populous region in northern Iran along the southern coast of the Caspian Sea, known for its forests, agriculture, and tourism.
  • 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_69d05422b25c819098189ac202c20123 completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 5:30 p.m.