Triple

T12155886
Position Surface form Disambiguated ID Type / Status
Subject Cubao MRT station E289573 entity
Predicate locatedIn P40 FINISHED
Object Barangay Socorro E790295 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: Barangay Socorro | Statement: [Cubao MRT station, locatedIn, Barangay Socorro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barangay Socorro
Context triple: [Cubao MRT station, locatedIn, Barangay Socorro]
  • A. Barangay Socorro chosen
    Barangay Socorro is an urban barangay in Quezon City, Metro Manila, known for hosting major government and military facilities as well as dense residential and commercial areas.
  • B. Barangay San Antonio
    Barangay San Antonio is a primarily residential and commercial barangay in Pasig City, Metro Manila, known for its urban communities and proximity to major business districts.
  • C. Barangay San Miguel
    Barangay San Miguel is a local administrative community within the city of Pasig in Metro Manila, Philippines.
  • D. Barangay San Vicente
    Barangay San Vicente is a local administrative village-level community within the city of Bislig in the Philippines.
  • E. Barangay Rosario
    Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.