Triple

T24103455
Position Surface form Disambiguated ID Type / Status
Subject Diosdado Macapagal International Airport E597149 entity
Predicate hasPassengerTerminal P1297 FINISHED
Object New Passenger Terminal Building
The New Passenger Terminal Building is a modern airport terminal facility serving travelers at Diosdado Macapagal International Airport in the Philippines.
E1615499 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: New Passenger Terminal Building | Statement: [Diosdado Macapagal International Airport, hasPassengerTerminal, New Passenger Terminal Building]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: New Passenger Terminal Building
Triple: [Diosdado Macapagal International Airport, hasPassengerTerminal, New Passenger Terminal Building]
Generated description
The New Passenger Terminal Building is a modern airport terminal facility serving travelers at Diosdado Macapagal International Airport in the Philippines.

Provenance (5 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_69e288c60f9c8190af948d7354aedbeb completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1de1399108190986f604468cd5858 completed April 29, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f96829834819081c90817f65bf4d0 completed May 21, 2026, 11:34 p.m.
NEDg Description generation batch_6a0f96fc18f481909bac6d5e98f3966e completed May 21, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a0f97e69c988190bfd0fb138248a226 completed May 21, 2026, 11:40 p.m.
Created at: April 17, 2026, 11 p.m.