Triple

T7389065
Position Surface form Disambiguated ID Type / Status
Subject Air Busan E170452 entity
Predicate cityServed P82 FINISHED
Object Cebu E46197 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: Cebu | Statement: [Air Busan, cityServed, Cebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cebu
Context triple: [Air Busan, cityServed, Cebu]
  • A. Cebu chosen
    Cebu is a major island and province in the central Philippines known for its historic role in Spanish colonization, vibrant urban center Cebu City, and popular beach and dive tourism.
  • B. Cagayan de Oro
    Cagayan de Oro is a highly urbanized city in Northern Mindanao, Philippines, known as a regional economic hub and gateway to the island’s northern corridor.
  • C. Davao City
    Davao City is a major urban center in the southern Philippines known for its economic hub status, proximity to Mount Apo, and reputation as one of the country’s safest and most progressive cities.
  • D. Catbalogan
    Catbalogan is a coastal city in the Philippines that serves as the capital and commercial hub of Samar province.
  • E. Iloilo
    Iloilo is a province in the Philippines known for its rich Spanish colonial heritage, vibrant festivals like Dinagyang, and its capital city Iloilo City, a major cultural and economic hub in the Visayas.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f512d881908056bdb88a58bea4 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e71bfc8190b45eb951c0311fce completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:09 p.m.