Triple

T14048621
Position Surface form Disambiguated ID Type / Status
Subject Bicol Express E338024 entity
Predicate isPopularIn P729 FINISHED
Object Metro Manila E36022 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: Metro Manila | Statement: [Bicol Express, isPopularIn, Metro Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Manila
Context triple: [Bicol Express, isPopularIn, Metro Manila]
  • A. Metro Manila chosen
    Metro Manila is the densely populated national capital region of the Philippines, encompassing Manila and several surrounding cities as the country’s political, economic, and cultural center.
  • B. Quezon City
    Quezon City is a major urban center in Metro Manila known for hosting many national government institutions, universities, and media networks in the Philippines.
  • C. Grand Manila
    Grand Manila is a novel by Norwegian author Kjartan Fløgstad that explores themes of globalization, migration, and cultural collision through his characteristic blend of social critique and literary experimentation.
  • D. Manila
    Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
  • E. Manila
    Manila is the capital city of the Philippines, a historic and densely populated coastal metropolis that has long served as the country’s political, economic, and cultural center.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c88b5e48190b0f0149102c08992 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2df73c8190aeb6f472ac7ebeed completed May 8, 2026, 5:52 a.m.
Created at: April 9, 2026, 10:20 p.m.