Triple

T2542170
Position Surface form Disambiguated ID Type / Status
Subject LRT Line 2 E57808 entity
Predicate hasTerminus P388 FINISHED
Object 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.
E296468 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: Recto station | Statement: [LRT Line 2, hasTerminus, Recto station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Recto station
Context triple: [LRT Line 2, hasTerminus, Recto station]
  • A. 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.
  • B. Kanamecho Station
    Kanamecho Station is a subway station in Toshima, Tokyo, serving as a stop on the Tokyo Metro network.
  • C. Shuri Station
    Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
  • D. Kitashinchi Station
    Kitashinchi Station is an underground railway station in Osaka, Japan, located in the central business and entertainment district and served by the JR Tōzai Line.
  • E. Namba Station
    Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
  • 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: Recto station
Triple: [LRT Line 2, hasTerminus, Recto station]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Recto station
Target entity description: 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.
  • A. 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.
  • B. Kanamecho Station
    Kanamecho Station is a subway station in Toshima, Tokyo, serving as a stop on the Tokyo Metro network.
  • C. Shuri Station
    Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
  • D. Kitashinchi Station
    Kitashinchi Station is an underground railway station in Osaka, Japan, located in the central business and entertainment district and served by the JR Tōzai Line.
  • E. Namba Station
    Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc02409f081909664f3041d328232 completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc0b6368081908e2520ac6680a409 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc145e61881908c0eeae455b02a78 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:47 p.m.