Triple

T4334941
Position Surface form Disambiguated ID Type / Status
Subject Pasig E97441 entity
Predicate borders P224 FINISHED
Object Pateros E190595 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: Pateros | Statement: [Pasig, borders, Pateros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pateros
Context triple: [Pasig, borders, Pateros]
  • A. Pateros chosen
    Pateros is the smallest and only landlocked municipality in Metro Manila, Philippines, known for its duck-raising industry and production of balut.
  • B. San Nicolás
    San Nicolás is a central Buenos Aires neighborhood known as a major commercial and cultural hub that includes landmarks like the Obelisco and the city’s main theater district.
  • C. San Nicolás de los Arroyos
    San Nicolás de los Arroyos is an industrial and port city in the Buenos Aires Province of Argentina, known for its manufacturing sector and strategic location on the Paraná River.
  • D. Surquillo
    Surquillo is a densely populated urban district of Lima, Peru, known for its residential neighborhoods, markets, and proximity to the upscale area of Miraflores.
  • E. La Calera
    La Calera is a Colombian town and municipality in the Andean department of Cundinamarca, known for its mountainous landscapes and proximity to Bogotá.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35152bfc88190ab5d53ca38f98d8a completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9c1a90819083d0889a65f04af2 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:14 p.m.