Triple

T9065757
Position Surface form Disambiguated ID Type / Status
Subject AANES E217240 entity
Predicate capitalDeFacto P31659 FINISHED
Object Qamishli (administrative center for many institutions) 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 (administrative center for many institutions) | Statement: [AANES, capitalDeFacto, Qamishli (administrative center for many institutions)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qamishli (administrative center for many institutions)
Context triple: [AANES, capitalDeFacto, Qamishli (administrative center for many institutions)]
  • 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. city of Kyzylorda
    The city of Kyzylorda is a regional capital in south-central Kazakhstan, situated along the Syr Darya River and serving as an important administrative and economic center.
  • E. Navoi
    Navoi is an industrial city in central Uzbekistan known for its mining, metallurgy, and chemical industries.
  • 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.