Triple

T18375141
Position Surface form Disambiguated ID Type / Status
Subject University of Thi-Qar E446292 entity
Predicate locatedIn P40 FINISHED
Object Nasiriyah NE NERFINISHED

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: Nasiriyah | Statement: [University of Thi-Qar, locatedIn, Nasiriyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasiriyah
Context triple: [University of Thi-Qar, locatedIn, Nasiriyah]
  • A. Nasiriyah chosen
    Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
  • B. Ghawwas
    Ghawwas is a notable poet associated with the Dakhni (Deccani) literary tradition of South Asia.
  • C. Diwaniyah
    Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
  • D. Al-Uqair
    Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
  • E. Qatif
    Qatif is a historic coastal city and oasis region in Saudi Arabia’s Eastern Province, known for its fishing, agriculture, and oil-related activities along the Persian Gulf.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51757a75c8190814db973ae1a86cd completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.