Triple
T11293951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hidden Valley picnic area |
E267399
|
entity |
| Predicate | activitySupported |
P93534
|
FINISHED |
| Object | eating outdoors |
—
|
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: eating outdoors | Statement: [Hidden Valley picnic area, activitySupported, eating outdoors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activitySupported Context triple: [Hidden Valley picnic area, activitySupported, eating outdoors]
-
A.
activityAvailable
chosen
Indicates that a particular activity can be performed or accessed under the current conditions or context.
-
B.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
C.
activityLocation
Indicates the place or setting where an activity occurs or is carried out.
-
D.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
E.
currentActivityLevel
Indicates the present intensity or degree of activity that an entity is engaged in at a given moment.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.