Triple

T20649848
Position Surface form Disambiguated ID Type / Status
Subject Ayn al-Arab District E507460 entity
Predicate partOf P40 FINISHED
Object Rojava NE NERFINISHED

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: Rojava | Statement: [Ayn al-Arab District, partOf, Rojava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rojava
Context triple: [Ayn al-Arab District, partOf, Rojava]
  • A. Elbistan
    Elbistan is a large town and district in southern Turkey known for its agricultural production and significant lignite-fueled thermal power plants.
  • B. Belgharia
    Belgharia is a suburban locality and residential-commercial area in the northern part of Kolkata, in the Indian state of West Bengal.
  • C. Shpira
    Shpira is a historical variant of the Jewish surname Shapiro, which is associated with families originating from the city of Speyer in Germany.
  • D. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • E. Kurdistan chosen
    Kurdistan is a geo-cultural region in the Middle East spanning parts of Turkey, Iraq, Iran, and Syria, traditionally inhabited by the Kurdish people and known for its distinct language, culture, and ongoing autonomy and independence movements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.