Triple

T21337782
Position Surface form Disambiguated ID Type / Status
Subject Runway 15L/33R E526095 entity
Predicate serves P98 FINISHED
Object Baghdad metropolitan area 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: Baghdad metropolitan area | Statement: [Runway 15L/33R, serves, Baghdad metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baghdad metropolitan area
Context triple: [Runway 15L/33R, serves, Baghdad metropolitan area]
  • 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. Baghdad Governorate
    Baghdad Governorate is an Iraqi administrative region centered on the capital city of Baghdad, serving as the political and economic heart of the country.
  • C. Bagda
    Bagda is a town in the North 24 Parganas district of West Bengal, India, known for its location near the India–Bangladesh border.
  • D. Mosul
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • E. المسد
    المسد هي سورة مكية قصيرة في القرآن الكريم تُعنى بذم أبي لهب وزوجته وبيان عاقبتهما.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898da015081909e83fb62cf166b9a completed April 22, 2026, 9:46 a.m.
Created at: April 16, 2026, 4:43 p.m.