Triple

T8582868
Position Surface form Disambiguated ID Type / Status
Subject Qamishli E203225 entity
Predicate partOf P40 FINISHED
Object Qamishli District E203225 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: Qamishli District | Statement: [Qamishli, partOf, Qamishli District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qamishli District
Context triple: [Qamishli, partOf, Qamishli District]
  • A. Khachmaz District
    Khachmaz District is an administrative region in northeastern Azerbaijan, known for its agriculture, coastal location along the Caspian Sea, and proximity to the Russian border.
  • B. Ismayilli District
    Ismayilli District is an administrative region in northern Azerbaijan known for its mountainous landscapes, forests, and historical villages.
  • C. Qamishli chosen
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • D. Murzuq District
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • E. Buynaksky District
    Buynaksky District is an administrative district (raion) in the Republic of Dagestan, Russia, with its administrative center in the town of Buynaksk.
  • 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_69ca8329bb7c8190a63c643730839103 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbeb1d0edc8190b4495935275252f3 completed March 31, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89b6d7f081908eecf0dd901e6bef completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:22 p.m.