Triple

T11789244
Position Surface form Disambiguated ID Type / Status
Subject Southern Syria E280347 entity
Predicate hasCity P316 FINISHED
Object Daraa E498906 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: Daraa | Statement: [Southern Syria, hasCity, Daraa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daraa
Context triple: [Southern Syria, hasCity, Daraa]
  • A. Daraa Governorate chosen
    Daraa Governorate is a strategically important region in southwestern Syria, bordering Jordan and often regarded as the birthplace of the Syrian uprising.
  • B. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • C. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • D. Tawil
    Tawil is an Arabic-origin surname commonly found among families from the Middle East and the broader Arab diaspora.
  • E. Khardaha
    Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130fd7b9881909e79ecb49fe98d30 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.