Triple

T2677772
Position Surface form Disambiguated ID Type / Status
Subject MRT Line 3 E56499 entity
Predicate hasStation P35 FINISHED
Object Ayala station
Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
E301901 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: Ayala station | Statement: [MRT Line 3, hasStation, Ayala station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayala station
Context triple: [MRT Line 3, hasStation, Ayala station]
  • A. Ortigas station
    Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
  • B. Recto station
    Recto station is an elevated terminal station of Manila’s LRT Line 2 located in the busy commercial district of Recto Avenue in the Philippines.
  • C. Universidad station
    Universidad station is a Tren Urbano rapid transit stop serving the area around the main campus of the University of Puerto Rico in San Juan.
  • D. Expo Center station
    Expo Center station is a light rail station in Portland, Oregon, serving as the northern terminus of TriMet’s MAX Yellow Line near the Portland Expo Center.
  • E. Cosmosquare Station
    Cosmosquare Station is a terminal subway station on Osaka Metro’s Chūō Line serving the waterfront/cosbay area of Osaka, Japan.
  • 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: Ayala station
Triple: [MRT Line 3, hasStation, Ayala station]
Generated description
Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ayala station
Target entity description: Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
  • A. Ortigas station
    Ortigas station is an elevated rapid transit stop serving the Ortigas Center business district in Metro Manila, Philippines.
  • B. Recto station
    Recto station is an elevated terminal station of Manila’s LRT Line 2 located in the busy commercial district of Recto Avenue in the Philippines.
  • C. Universidad station
    Universidad station is a Tren Urbano rapid transit stop serving the area around the main campus of the University of Puerto Rico in San Juan.
  • D. Expo Center station
    Expo Center station is a light rail station in Portland, Oregon, serving as the northern terminus of TriMet’s MAX Yellow Line near the Portland Expo Center.
  • E. Vicente Valdés station
    Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern part of the city.
  • 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_69afce812640819085c46f7452b5913b completed March 10, 2026, 7:55 a.m.
NEDg Description generation batch_69afd037b4ac81909db8a8762e8edaf4 completed March 10, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69afd096b0bc8190a0a4f9d004bf4d8f completed March 10, 2026, 8:04 a.m.
Created at: March 6, 2026, 9:54 p.m.