Triple

T1026197
Position Surface form Disambiguated ID Type / Status
Subject Congress of the Philippines E22143 entity
Predicate meetingRegion P15078 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: [Congress of the Philippines, meetingRegion, Metro Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro Manila
Context triple: [Congress of the Philippines, meetingRegion, 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 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.
  • D. Makati
    Makati is a highly urbanized city in Metro Manila, Philippines, known as the country’s leading financial and business center.
  • E. Mandaluyong, Metro Manila, Philippines
    Mandaluyong, in Metro Manila, Philippines, is a highly urbanized city known as a major commercial and business hub that hosts the headquarters of the Asian Development Bank.
  • 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: meetingRegion
Context triple: [Congress of the Philippines, meetingRegion, Metro Manila]
  • A. meetingPlaceTerritory chosen
    Indicates the territory or geographic area where a meeting or gathering takes place.
  • B. meetingType
    Indicates the specific category or format of a meeting that characterizes how it is organized or conducted.
  • C. meetingCity
    Indicates the city where a meeting or encounter between entities takes place.
  • D. meetingNumber
    Indicates the specific numerical identifier assigned to distinguish one meeting from others.
  • E. convenesIn
    Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
  • F. None of above.

Provenance (4 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f5e7b48190b26524573c2824ba completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac661d6d4c8190a72cd52ec2a27e12 completed March 7, 2026, 5:53 p.m.
PD Predicate disambiguation batch_69a4b72619cc8190932fdfa0c74dc055 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.