Triple

T14522337
Position Surface form Disambiguated ID Type / Status
Subject Amedi E340682 entity
Predicate nearbyCity P350 FINISHED
Object Duhok 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: Duhok | Statement: [Amedi, nearbyCity, Duhok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duhok
Context triple: [Amedi, nearbyCity, Duhok]
  • 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. Zakho
    Zakho is a Kurdish-majority town in the Kurdistan Region of Iraq, near the Turkish border, known as a commercial hub and gateway for cross-border trade.
  • D. Halab
    Halab is the ancient name of Aleppo, one of the oldest continuously inhabited cities in the world, located in present-day northern Syria.
  • E. 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.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf072a46481909287ef89f226270e completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:22 a.m.