Triple

T8161928
Position Surface form Disambiguated ID Type / Status
Subject Pateros E190595 entity
Predicate isSmallestLocalGovernmentUnitIn P81034 FINISHED
Object Metro Manila E36022 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: Metro Manila | Statement: [Pateros, isSmallestLocalGovernmentUnitIn, Metro Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Manila
Context triple: [Pateros, isSmallestLocalGovernmentUnitIn, Metro Manila]
  • A. Metro Manila chosen
    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.
  • B. 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.
  • C. Manila
    Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
  • D. Manila
    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.
  • E. Makati
    Makati is a highly urbanized city in Metro Manila, Philippines, known as the country’s leading financial and business 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: isSmallestLocalGovernmentUnitIn
Context triple: [Pateros, isSmallestLocalGovernmentUnitIn, Metro Manila]
  • A. isSmallestByAreaIn
    Indicates that an entity has the smallest area among all comparable entities within a specified set, group, or context.
  • B. isSmallAreaMunicipality
    Indicates that a municipality is classified as a small-area municipality, typically based on limited geographic size or population.
  • C. isSmallestRegionOf
    Indicates that a region is the smallest subregion that still fully corresponds to or represents a given larger entity or area.
  • D. isSmallestCountryIn
    Indicates that a country is the smallest (by a specified measure, typically area) among all countries within a given region or set.
  • E. isSmallCity
    Indicates that a city has a relatively small population size or limited geographic/urban extent compared to typical cities.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4556b45c819089eb15ad027b036a completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce022b87bc8190b390adf9170eb886 completed April 2, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69cb36a4c40c81909f60aef0e1624c13 completed March 31, 2026, 2:51 a.m.
PDg Predicate description generation batch_69cb40a017608190b6b48cf60335fa8d completed March 31, 2026, 3:33 a.m.
Created at: March 30, 2026, 5:38 p.m.