Triple

T16625698
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Planning of Iraq E403937 entity
Predicate headquartersLocation P62 FINISHED
Object Baghdad E14388 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: Baghdad | Statement: [Ministry of Planning of Iraq, headquartersLocation, Baghdad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baghdad
Context triple: [Ministry of Planning of Iraq, headquartersLocation, Baghdad]
  • A. Baghdad chosen
    Baghdad is the capital and largest city of Iraq, historically renowned as a major center of the Islamic Golden Age and a key cultural and economic hub of the Arab world.
  • B. Bagda
    Bagda is a town in the North 24 Parganas district of West Bengal, India, known for its location near the India–Bangladesh border.
  • C. Ashdad
    Ashdad is a small community located within the township of Greater Madawaska in eastern Ontario, Canada.
  • D. Mosul
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37551cd888190becc21deba87980d completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db866e48190886aec7658835543 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.