Triple
T17084406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woods Hole bus stop |
E414556
|
entity |
| Predicate | servesTravelType |
P48322
|
FINISHED |
| Object | local travel |
—
|
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: local travel | Statement: [Woods Hole bus stop, servesTravelType, local travel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTravelType Context triple: [Woods Hole bus stop, servesTravelType, local travel]
-
A.
servesTravelersTo
Indicates a relationship where one entity provides services, assistance, or accommodations specifically directed toward travelers heading to a particular destination.
-
B.
servesBusinessTravel
Indicates that an entity provides services or accommodations specifically intended for business-related travel.
-
C.
travelsOn
Indicates that an entity moves or journeys using a particular route, path, or mode of transportation.
-
D.
servesType
chosen
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
E.
offersClassOfTravel
Indicates that a service provider makes a particular class or tier of travel (e.g., economy, business, first) available as an option.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe60d588190963ccd4c86af1233 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.