Triple

T2520321
Position Surface form Disambiguated ID Type / Status
Subject La Mesa Eco Park E55506 entity
Predicate locatedIn P40 FINISHED
Object Quezon City E10123 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: Quezon City | Statement: [La Mesa Eco Park, locatedIn, Quezon City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quezon City
Context triple: [La Mesa Eco Park, locatedIn, Quezon City]
  • A. Quezon City chosen
    Quezon City is a major urban center in Metro Manila known for hosting many national government institutions, universities, and media networks in the Philippines.
  • B. Caloocan
    Caloocan is a highly urbanized city in the Philippines that forms part of the northern section of Metro Manila and serves as a major residential and commercial hub.
  • C. 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.
  • D. Cavite City
    Cavite City is a coastal urban center in the province of Cavite in the Philippines, historically significant as a former Spanish colonial port and naval base near Metro Manila.
  • 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.

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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2343e3081908819dc58d8ff40ce completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b54c16c05481908f451b492ca9f47f completed March 14, 2026, 11:52 a.m.
Created at: March 6, 2026, 9:46 p.m.