Triple

T9561365
Position Surface form Disambiguated ID Type / Status
Subject Karkheh River E230681 entity
Predicate nearCity P350 FINISHED
Object Ahvaz E207371 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: Ahvaz | Statement: [Karkheh River, nearCity, Ahvaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahvaz
Context triple: [Karkheh River, nearCity, Ahvaz]
  • A. Ahvaz chosen
    Ahvaz is a major industrial city in southwestern Iran and the capital of Khuzestan Province, known for its oil industry and location along the Karun River.
  • B. 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.
  • C. Sanandaj
    Sanandaj is the capital of Iran’s Kurdistan Province, known for its Kurdish culture, traditional music, and mountainous surroundings in western Iran.
  • D. Shahrekord
    Shahrekord is a city in western Iran known as the capital of Chaharmahal and Bakhtiari Province and for its high elevation and cool climate.
  • E. Zahedan
    Zahedan is a major city in southeastern Iran and the capital of Sistan and Baluchestan Province, near the borders with Pakistan and Afghanistan.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994d31e08190b139f5ad10d8ea31 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e15435faa881909b1a124f8027deeb completed April 16, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:03 p.m.