Triple

T13188613
Position Surface form Disambiguated ID Type / Status
Subject Bay of Manado E313923 entity
Predicate partOf P40 FINISHED
Object City of Manado E80045 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: City of Manado | Statement: [Bay of Manado, partOf, City of Manado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Manado
Context triple: [Bay of Manado, partOf, City of Manado]
  • A. Manado chosen
    Manado is a major coastal city and the capital of North Sulawesi province in Indonesia, known as a gateway to the renowned Bunaken Marine Park.
  • B. city of Manta
    The city of Manta is a major coastal port and tourist center on Ecuador’s Pacific coast, known for its fishing industry and maritime commerce.
  • C. Bougainvillea City
    Bougainvillea City is a floral-themed nickname for the Malaysian city of Ipoh, reflecting its abundance of bougainvillea plants and scenic charm.
  • D. Naga City
    Naga City is a major urban center in the Bicol Region of the Philippines, known as a cultural, religious, and educational hub.
  • E. Naga City
    Naga City is a component city in the province of Cebu in the Philippines, known for its industrial activities and coastal location in the central Visayas region.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4d60688190b34e65bbb5d4c152 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460e94a08190a518f466f55db482 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:15 p.m.