Triple

T9066171
Position Surface form Disambiguated ID Type / Status
Subject Hasakah E217249 entity
Predicate hasRoadConnection P385 FINISHED
Object Qamishli 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 | Statement: [Hasakah, hasRoadConnection, Qamishli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qamishli
Context triple: [Hasakah, hasRoadConnection, Qamishli]
  • A. Qamishli chosen
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • B. Qarshi
    Qarshi is a historic city in southern Uzbekistan known as a regional economic and cultural center.
  • C. Khachmaz
    Khachmaz is a town in northeastern Azerbaijan known as a regional center near the Caspian Sea and the Russian border.
  • D. Namangan
    Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
  • E. Andijan
    Andijan is a historic city in eastern Uzbekistan, known as a major cultural and economic center of the Fergana Valley and as the birthplace of the Mughal emperor Babur.
  • 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.