Triple
T8502545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plantation Preserve Golf Course & Club |
E201254
|
entity |
| Predicate | hasCartRental |
P82860
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Plantation Preserve Golf Course & Club, hasCartRental, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCartRental Context triple: [Plantation Preserve Golf Course & Club, hasCartRental, yes]
-
A.
hasRentalShop
Indicates that one entity operates, owns, or is associated with a rental shop used to provide items or services for rent to others.
-
B.
hasRentalCarCenter
Indicates that a location or facility includes or is associated with a rental car center where vehicles can be rented.
-
C.
hasCabType
Indicates that an entity is associated with or characterized by a specific type or category of cab.
-
D.
hasParkOrReservation
Indicates that an entity possesses, includes, or is associated with a park or a designated reservation area.
-
E.
hasSubRide
Indicates that a ride or journey is composed of, or includes, one or more smaller component rides or segments.
- F. None of above. chosen
Provenance (4 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59c413881909513d8a9d52333c0 |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:14 p.m.