Triple

T18453099
Position Surface form Disambiguated ID Type / Status
Subject Damascus Eyalet E450835 entity
Predicate contains P35 FINISHED
Object Balqa 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: Balqa | Statement: [Damascus Eyalet, contains, Balqa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balqa
Context triple: [Damascus Eyalet, contains, Balqa]
  • A. Mafraq
    Mafraq is a city in northern Jordan that serves as a strategic transport hub and gateway to the Syrian border and surrounding desert regions.
  • B. Irbid
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • C. Balqa Governorate chosen
    Balqa Governorate is an administrative region in north-central Jordan that includes parts of the Jordan Valley and the city of Salt, one of the country’s historically important urban centers.
  • D. al-Qastal
    al-Qastal is a strategically located Palestinian village near Jerusalem that became a key battleground during the 1948 Arab–Israeli War.
  • E. Ma’an
    Ma’an is a major city in southern Jordan that serves as an important regional hub and gateway to nearby desert and archaeological sites.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264a49ec8190aa43381d93a55e91 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.