Triple

T9065461
Position Surface form Disambiguated ID Type / Status
Subject Lalish temple complex E217232 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: [Lalish temple complex, nearbyCity, Duhok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duhok
Context triple: [Lalish temple complex, 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. Halab
    Halab is the ancient name of Aleppo, one of the oldest continuously inhabited cities in the world, located in present-day northern Syria.
  • 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. 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bc91d48190acf62afa90eec079 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdd4ad78819098f64d8440c7fa96 completed April 3, 2026, 5:50 p.m.
Created at: March 30, 2026, 7:11 p.m.