Triple

T12580505
Position Surface form Disambiguated ID Type / Status
Subject Aleppo Governorate E300322 entity
Predicate contains P35 FINISHED
Object Kobanî E217248 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: Kobanî | Statement: [Aleppo Governorate, contains, Kobanî]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobanî
Context triple: [Aleppo Governorate, contains, Kobanî]
  • A. Kobanî chosen
    Kobanî is a predominantly Kurdish city in northern Syria known for its strategic location near the Turkish border and its symbolic role in resisting ISIS during the Syrian civil war.
  • B. Kobar
    Kobar is a Palestinian village in the central West Bank, known as the birthplace of prominent political figure Marwan Barghouti.
  • C. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • D. Khobi
    Khobi is a small town in the Samegrelo-Zemo Svaneti region of western Georgia, serving as a local administrative and cultural center.
  • E. Kaben
    Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559ba5108190b85be540a405eec8 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 5:01 p.m.