Triple

T18366110
Position Surface form Disambiguated ID Type / Status
Subject Battle of Nasiriyah E440048 entity
Predicate cityInvolved P10973 FINISHED
Object An 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: An Nasiriyah | Statement: [Battle of Nasiriyah, cityInvolved, An Nasiriyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An Nasiriyah
Context triple: [Battle of Nasiriyah, cityInvolved, An 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-Ramadi
    Al-Ramadi is a key city in western Iraq that serves as the capital of Al Anbar Governorate and an important hub along the Euphrates River.
  • D. Tikrit
    Tikrit is a city in northern Iraq best known as the hometown of former president Saddam Hussein and a focal point in recent Iraqi history.
  • E. Al-Faw
    Al-Faw is a strategic port town at the southern tip of Iraq, near the Shatt al-Arab waterway and 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174e834481909453ba25561d1b1d completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.