Triple

T14092761
Position Surface form Disambiguated ID Type / Status
Subject Erbil International Airport E339175 entity
Predicate servesPopulationCenter P2106 FINISHED
Object city of Erbil E67752 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: city of Erbil | Statement: [Erbil International Airport, servesPopulationCenter, city of Erbil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Erbil
Context triple: [Erbil International Airport, servesPopulationCenter, city of Erbil]
  • A. Erbil chosen
    Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
  • B. 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.
  • C. Mosul
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • 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. 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.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee47f0881908aea8b5231b93f2f completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf006f7481909149779de4d7cd2e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.