Triple

T16427614
Position Surface form Disambiguated ID Type / Status
Subject Obando Church E398983 entity
Predicate locatedIn P40 FINISHED
Object Obando E398983 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: Obando | Statement: [Obando Church, locatedIn, Obando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obando
Context triple: [Obando Church, locatedIn, Obando]
  • A. Obando chosen
    Obando is a coastal municipality in the province of Bulacan, Philippines, known for its annual fertility dance festival held in honor of Catholic patron saints.
  • B. Tobata
    Tobata is a ward in the city of Kitakyushu, Japan, known historically as an independent city and an important industrial and port area in northern Kyushu.
  • C. Osakasayama
    Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
  • D. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • E. Kameyama
    Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0091872e648190b805aa4e41bcbb6d completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:09 a.m.