Triple

T11175679
Position Surface form Disambiguated ID Type / Status
Subject Philippines AirAsia E264405 entity
Predicate headquartersLocation P62 FINISHED
Object Pasay, Philippines E248637 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: Pasay, Philippines | Statement: [Philippines AirAsia, headquartersLocation, Pasay, Philippines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasay, Philippines
Context triple: [Philippines AirAsia, headquartersLocation, Pasay, Philippines]
  • A. Olongapo, Philippines
    Olongapo is a coastal city in the Philippines known for its history as the site of the former U.S. Subic Bay Naval Base and its role as a commercial and tourism hub in Central Luzon.
  • B. Puerto Princesa, Philippines
    Puerto Princesa is a coastal city on the Philippine island of Palawan known for its pristine beaches, rich marine biodiversity, and the UNESCO-listed Puerto Princesa Subterranean River National Park.
  • C. Caticlan
    Caticlan is a coastal barangay in Malay, Aklan in the Philippines, best known as the main gateway to the resort island of Boracay via its nearby jetty port and airport.
  • D. Los Baños, Laguna, Philippines
    Los Baños, Laguna, Philippines is a university town and science hub on the island of Luzon known for its agricultural research institutions, hot springs, and proximity to Mount Makiling.
  • E. Pasay, Metro Manila, Philippines chosen
    Pasay, Metro Manila, Philippines is a highly urbanized coastal city in the National Capital Region known for hosting major transport hubs, commercial centers, and entertainment complexes.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8987e1081909b28a0bdb866beae completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acf79b748190b117355f60c8c015 completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.