Triple

T33686340
Position Surface form Disambiguated ID Type / Status
Subject Montclair E863043 entity
Predicate hasTransitCenter P2413 FINISHED
Object Montclair TransCenter
Montclair TransCenter is a major public transportation hub in Montclair, California, serving as an intermodal connection point for bus and rail services in the region.
 E679935 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: Montclair TransCenter | Statement: [Montclair, hasTransitCenter, Montclair TransCenter]
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: Montclair TransCenter
Triple: [Montclair, hasTransitCenter, Montclair TransCenter]
Generated description
Montclair TransCenter is a major public transportation hub in Montclair, California, serving as an intermodal connection point for bus and rail services in the region.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasTransitCenter
Context triple: [Montclair, hasTransitCenter, Montclair TransCenter]
  • A. hasTransportHub chosen
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • B. hasTransitAccessTo
    Indicates that one place or entity is reachable from another via public or shared transportation services.
  • C. isTransportCenterOf
    Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
  • D. hasTransitFocus
    Indicates that something is oriented toward, prioritizes, or is primarily concerned with transit or transportation services.
  • E. isGroundTransportHubFor
    Indicates that a location functions as a central node or facility for organizing, coordinating, or serving ground-based transportation for another place or set of routes.
  • 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_69f3498662b48190904442c39df84fb7 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff41645c548190b7cb4e53079b93ef completed May 9, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a363c93b37c81908ca1afc727e15fbf completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a364858b6e4819098839767b3fbfda4 completed June 20, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_6a3648df22f8819081e405f644f602c9 completed June 20, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69ff410aa33c8190869ba769ac2a93ce completed May 9, 2026, 2:13 p.m.
Created at: May 1, 2026, 1:43 a.m.