Triple

T2185495
Position Surface form Disambiguated ID Type / Status
Subject Basra school of grammar E49143 entity
Predicate locatedIn P40 FINISHED
Object Basra E50045 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: Basra | Statement: [Basra school of grammar, locatedIn, Basra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basra
Context triple: [Basra school of grammar, locatedIn, Basra]
  • A. Basra chosen
    Basra is a historic port city in southern Iraq, strategically located near the Persian Gulf and long significant as a commercial and cultural hub of the region.
  • B. Najaf
    Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
  • C. Farwaniya
    Farwaniya is a major residential and commercial district in Kuwait, known for its dense population and role as a key urban center near Kuwait City.
  • D. Kirkuk
    Kirkuk is a historically significant, oil-rich and ethnically diverse city in northern Iraq that has long been a focal point of political and territorial disputes.
  • E. 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.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf1009788190973cf94db68fbb6b completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae893ec6248190900ff61f5f3778ce completed March 9, 2026, 8:47 a.m.
Created at: March 4, 2026, 7:45 p.m.