Triple

T16421351
Position Surface form Disambiguated ID Type / Status
Subject Jibal E398825 entity
Predicate contains P35 FINISHED
Object Nihavand E1106354 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: Nihavand | Statement: [Jibal, contains, Nihavand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nihavand
Context triple: [Jibal, contains, Nihavand]
  • A. Nihavand chosen
    Nihavand is an ancient city in western Iran, historically significant as the site of a decisive 7th-century battle that helped pave the way for the Islamic conquest of Persia.
  • B. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • C. Niavaran
    Niavaran is an affluent, historically significant neighborhood in northern Tehran known for its royal palace complex, cultural centers, and proximity to the Alborz mountains.
  • D. Haravgi
    Haravgi is a Cypriot newspaper that serves as the main press organ of the left-wing Progressive Party of Working People (AKEL).
  • E. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f735b08190aec8331f54817462 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.