Triple
T1721026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braintree station |
E37388
|
entity |
| Predicate | hasAmenities |
P12416
|
FINISHED |
| Object | waiting areas |
—
|
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: waiting areas | Statement: [Braintree station, hasAmenities, waiting areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmenities Context triple: [Braintree station, hasAmenities, waiting areas]
-
A.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
-
B.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
-
D.
hasFacilities
chosen
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
E.
amenity
Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.