Triple

T20263592
Position Surface form Disambiguated ID Type / Status
Subject Daraa Governorate E498906 entity
Predicate hasCity P316 FINISHED
Object Daraa 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: Daraa | Statement: [Daraa Governorate, hasCity, Daraa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daraa
Context triple: [Daraa Governorate, hasCity, Daraa]
  • A. Daraa chosen
    Daraa is a city in southwestern Syria near the Jordanian border, historically known as a regional trade hub and more recently as a focal point of the early Syrian uprising.
  • B. Daraa Governorate
    Daraa Governorate is a strategically important region in southwestern Syria, bordering Jordan and often regarded as the birthplace of the Syrian uprising.
  • C. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • D. Togdheer region
    Togdheer region is an administrative region in central Somaliland, known for its pastoral economy and strategic location bordering Ethiopia.
  • E. Al Majarrah
    Al Majarrah is a waterfront district in Sharjah, United Arab Emirates, known for its cultural landmarks and museums.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ccff008190920b418f51dc4311 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.