Triple
T13579042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadfoot Beach |
E324361
|
entity |
| Predicate | hasParkingCharges |
P99536
|
FINISHED |
| Object | seasonal |
—
|
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: seasonal | Statement: [Meadfoot Beach, hasParkingCharges, seasonal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParkingCharges Context triple: [Meadfoot Beach, hasParkingCharges, seasonal]
-
A.
hasParking
Indicates that a place or facility provides designated parking space(s) available for use.
-
B.
parkingFee
chosen
Indicates the monetary charge required for parking a vehicle in a given place or time period.
-
C.
hasParkingFor
Indicates that a place or facility provides designated parking spaces suitable for a specified type of vehicle or user.
-
D.
hasDailyParking
Indicates that an entity provides or is associated with parking that is available and valid on a daily basis.
-
E.
hasParkingPermitSystem
Indicates that a place or organization operates a system for issuing and managing parking permits for vehicles.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.