Triple

T10724680
Position Surface form Disambiguated ID Type / Status
Subject Ur E252909 entity
Predicate locatedNear P294 FINISHED
Object Nasiriyah E100692 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: Nasiriyah | Statement: [Ur, locatedNear, Nasiriyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasiriyah
Context triple: [Ur, locatedNear, 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. Diwaniyah
    Diwaniyah is a major city in southern Iraq known as an important agricultural and administrative center along the Euphrates River.
  • C. 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.
  • D. 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.
  • E. Al-Shuwaikh
    Al-Shuwaikh is a district in Kuwait City known for its industrial area, port facilities, and commercial activity.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d473cfc8190b0ea6dbec14ee070 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb741a174819098aafac90d29d50a completed April 12, 2026, 3:16 p.m.
Created at: April 8, 2026, 9:14 p.m.