Triple

T9726306
Position Surface form Disambiguated ID Type / Status
Subject Manila–Singapore E235620 entity
Predicate hasOriginAirportCity P90676 FINISHED
Object Manila E7896 NE FINISHED

How this triple was built (3 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 | Statement: [Manila–Singapore, hasOriginAirportCity, Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manila
Context triple: [Manila–Singapore, hasOriginAirportCity, Manila]
  • A. Manila chosen
    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.
  • B. Manila
    Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
  • C. San Miguel, Manila
    San Miguel, Manila is a historic district in the city of Manila, Philippines, known for housing the presidential Malacañang Palace and various government and educational institutions.
  • D. 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.
  • E. Metro Manila
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasOriginAirportCity
Context triple: [Manila–Singapore, hasOriginAirportCity, Manila]
  • A. typicalOriginAirportIATA
    Indicates the usual or primary origin airport for an entity, identified by its IATA airport code.
  • B. isLocatedAtAirportServingCity
    Indicates that something is situated at an airport that provides service to a particular city.
  • C. hasFormerAirport
    Indicates that an entity previously had an airport that is no longer in operation or no longer exists.
  • D. airlineBaseCity
    Indicates the city that serves as the primary operational base or headquarters location for an airline.
  • E. parentAirport
    Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
  • F. None of above. chosen

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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e798c348190885b79d7dffc9d8d completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afb089e48190a14ed0c0f81872c7 completed April 5, 2026, 12:41 a.m.
PD Predicate disambiguation batch_69cd03c6ffc88190a5e9569e19122ad5 completed April 1, 2026, 11:38 a.m.
PDg Predicate description generation batch_69cd07c5c978819084abc7267a5ced80 completed April 1, 2026, 11:55 a.m.
Created at: March 30, 2026, 8:21 p.m.