Triple

T9186817
Position Surface form Disambiguated ID Type / Status
Subject Syrian Democratic Council E220479 entity
Predicate headquartersLocation P62 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: [Syrian Democratic Council, headquartersLocation, Qamishli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qamishli
Context triple: [Syrian Democratic Council, headquartersLocation, 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31a52508190a83ccd76f3aa039b completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1e163c8190bf9a85de7569c14d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.