Triple

T11175743
Position Surface form Disambiguated ID Type / Status
Subject Royal Air Philippines E264406 entity
Predicate operatesRoute P3695 FINISHED
Object Manila–Caticlan E503147 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: Manila–Caticlan | Statement: [Royal Air Philippines, operatesRoute, Manila–Caticlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manila–Caticlan
Context triple: [Royal Air Philippines, operatesRoute, Manila–Caticlan]
  • A. Caticlan chosen
    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.
  • B. Port of Manila
    The Port of Manila is the Philippines’ largest and busiest seaport, serving as the primary international gateway for the country’s maritime trade and cargo traffic.
  • C. Cavite City Port
    Cavite City Port is a coastal seaport in Cavite City, Philippines, serving as a local hub for maritime transport, fishing, and trade in Manila Bay.
  • D. Port of Cebu
    The Port of Cebu is a major maritime gateway and commercial hub in the central Philippines, serving as a key center for cargo and passenger traffic in the Visayas region.
  • E. Port of Iligan
    The Port of Iligan is a key seaport in northern Mindanao, Philippines, serving as a hub for regional trade, passenger transport, and industrial cargo.
  • 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_69e4838f19388190af6fde7d4275ce2a completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.