Triple

T2677767
Position Surface form Disambiguated ID Type / Status
Subject MRT Line 3 E56499 entity
Predicate hasStation P35 FINISHED
Object Ortigas station
Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
 E297311 NE FINISHED

How this triple was built (4 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: Ortigas station | Statement: [MRT Line 3, hasStation, Ortigas station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ortigas station
Context triple: [MRT Line 3, hasStation, Ortigas station]
  • A. Antipolo station
    Antipolo station is an elevated eastern terminal station of Manila’s LRT Line 2 serving the city of Antipolo in Rizal, Philippines.
  • B. J. Ruiz station
    J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
  • C. Sagrado Corazón station
    Sagrado Corazón station is a major rapid transit station in San Juan, Puerto Rico, serving as the northern endpoint of the city's Tren Urbano metro system.
  • D. Retiro station
    Retiro station is a major Buenos Aires Underground terminus and transport hub located in the Retiro district of Argentina’s capital.
  • E. Marikina–Pasig station
    Marikina–Pasig station is an elevated rail station in Metro Manila, Philippines, serving commuters in the cities of Marikina and Pasig along the LRT Line 2 corridor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ortigas station
Triple: [MRT Line 3, hasStation, Ortigas station]
Generated description
Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ortigas station
Target entity description: Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
  • A. Antipolo station
    Antipolo station is an elevated eastern terminal station of Manila’s LRT Line 2 serving the city of Antipolo in Rizal, Philippines.
  • B. J. Ruiz station
    J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
  • C. Sagrado Corazón station
    Sagrado Corazón station is a major rapid transit station in San Juan, Puerto Rico, serving as the northern endpoint of the city's Tren Urbano metro system.
  • D. Retiro station
    Retiro station is a major Buenos Aires Underground terminus and transport hub located in the Retiro district of Argentina’s capital.
  • E. Marikina–Pasig station
    Marikina–Pasig station is an elevated rail station in Metro Manila, Philippines, serving commuters in the cities of Marikina and Pasig along the LRT Line 2 corridor.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b697fc8190a5ec8b75ee2ad238 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc02d8730819093a576d3751432de completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc15513f48190a22f83571be2e0bd completed March 10, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69afc1c9440c8190abf9dc063109af45 completed March 10, 2026, 7:01 a.m.
Created at: March 6, 2026, 9:54 p.m.