Triple
T24706078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampton Ferry |
E611894
|
entity |
| Predicate | operatedSeasonally |
P91693
|
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: [Hampton Ferry, operatedSeasonally, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedSeasonally Context triple: [Hampton Ferry, operatedSeasonally, yes]
-
A.
operatedSeasonallyFrom
Indicates that an entity was in operation only during specific seasons or periods within a given timeframe.
-
B.
operatedSeason
chosen
Indicates the specific season or time period during which an entity (such as a service, facility, or operation) was active or in use.
-
C.
hasSeasonalPractice
Indicates that an entity engages in a practice or activity that occurs or is performed during specific seasons or recurring seasonal periods.
-
D.
hasSeasonalFacility
Indicates that an entity provides a facility or service that operates only during specific seasons or times of the year.
-
E.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 3:24 a.m.