Triple
T1537118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy Center |
E32575
|
entity |
| Predicate | isMajorStopFor |
P25018
|
FINISHED |
| Object | MBTA commuter bus routes in Quincy |
—
|
LITERAL FINISHED |
How this triple was built (2 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: MBTA commuter bus routes in Quincy | Statement: [Quincy Center, isMajorStopFor, MBTA commuter bus routes in Quincy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorStopFor Context triple: [Quincy Center, isMajorStopFor, MBTA commuter bus routes in Quincy]
-
A.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
B.
isMajorInterchangeFor
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
C.
isMajorRouteFor
Indicates that something serves as a primary or heavily used pathway or channel for the movement or flow of something else.
-
D.
isMajorAccessPointFor
Indicates that something serves as a primary or significant entry or connection point for accessing another entity or system.
-
E.
hasStopType
chosen
Indicates that a stop or stopping point is classified as having a particular type or category of stop.
- F. None of above.
Provenance (3 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.