Triple

T20080227
Position Surface form Disambiguated ID Type / Status
Subject Rojda Felat E499979 entity
Predicate activeIn P1560 FINISHED
Object Raqqa Governorate 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: Raqqa Governorate | Statement: [Rojda Felat, activeIn, Raqqa Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raqqa Governorate
Context triple: [Rojda Felat, activeIn, Raqqa Governorate]
  • A. Raqqa Governorate chosen
    Raqqa Governorate is an administrative region in northern Syria centered on the city of Raqqa, known for its location along the Euphrates River and its recent prominence in the Syrian conflict.
  • B. Idlib Governorate
    Idlib Governorate is a province in northwestern Syria that has been a major stronghold and battleground for opposition forces during the Syrian civil war.
  • C. Raqqa
    Raqqa is a city in northern Syria that became widely known as the de facto capital of the Islamic State (ISIS) during its control from 2014 to 2017.
  • D. Homs Governorate
    Homs Governorate is a large administrative region in central Syria, centered on the city of Homs and known for its strategic location and diverse landscapes.
  • E. Khan Shaykhun
    Khan Shaykhun is a town in northwestern Syria that gained international attention during the Syrian civil war, particularly after a widely reported chemical attack in 2017.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643f93208190ae2a413f88ea9aed completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:41 p.m.