Triple

T3248634
Position Surface form Disambiguated ID Type / Status
Subject Greater Zab E68122 entity
Predicate nearbyCity P350 FINISHED
Object Zakho E232764 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: Zakho | Statement: [Greater Zab, nearbyCity, Zakho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zakho
Context triple: [Greater Zab, nearbyCity, Zakho]
  • A. Duhok chosen
    Duhok is a city in the Kurdistan Region of Iraq, known as a growing cultural and economic center surrounded by mountains near the Turkish and Syrian borders.
  • B. Erbil
    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.
  • C. 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.
  • D. Najaf
    Najaf is a major Iraqi city revered as a holy center of Shia Islam and home to the Imam Ali Shrine.
  • E. Mosul
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3e9ed0819096ac238098ac403c completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367e780008190b554bf1ad0c7cc59 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:09 p.m.