Triple

T24394737
Position Surface form Disambiguated ID Type / Status
Subject Colonia Nápoles E614996 entity
Predicate hasNearbyMetrobusStation P15438 FINISHED
Object Polyforum station
Polyforum station is a Mexico City Metrobús stop serving the Colonia Nápoles area near the iconic Polyforum Cultural Siqueiros.
 E1632029 NE FINISHED

How this triple was built (3 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: Polyforum station | Statement: [Colonia Nápoles, hasNearbyMetrobusStation, Polyforum station]
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: Polyforum station
Triple: [Colonia Nápoles, hasNearbyMetrobusStation, Polyforum station]
Generated description
Polyforum station is a Mexico City Metrobús stop serving the Colonia Nápoles area near the iconic Polyforum Cultural Siqueiros.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyMetrobusStation
Context triple: [Colonia Nápoles, hasNearbyMetrobusStation, Polyforum station]
  • A. hasAdjacentBusStation
    Indicates that one location has a bus station situated directly next to or very near it.
  • B. hasPublicTransportStop chosen
    Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
  • C. hasNearbyTramStop
    Indicates that a location has a tram stop situated within a short walking distance or close proximity.
  • D. nearMetroStation
    Indicates that one entity is located close to or within a short walking distance of a metro (subway) station.
  • E. operatorOfNearbyTransit
    Indicates that an entity operates or manages a public transit service located in close geographic proximity to another specified entity.
  • F. None of above.

Provenance (6 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_69e2d7e509b88190a53155d4f3de45ce completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2945afa80819094f7154f7539d0d1 completed April 29, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd68420688190b5a8871c2a39d6db completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd785e66c8190971031df082764bf completed May 22, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd83e09ac81909c039cdcf5e2d022 completed May 22, 2026, 4:14 a.m.
PD Predicate disambiguation batch_69f287c4a2b48190b80fb7a3c0e9b018 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:04 a.m.