Triple
T21411544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripon Hornblower |
E528182
|
entity |
| Predicate | performsOutdoors |
P8618
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ripon Hornblower, performsOutdoors, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsOutdoors Context triple: [Ripon Hornblower, performsOutdoors, true]
-
A.
isOutdoor
chosen
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
B.
outdoorCategory
Indicates that something belongs to a classification or type specifically associated with outdoor contexts or activities.
-
C.
outdoorSection
Indicates that one entity is a section, area, or portion that is located outdoors or in an open-air environment relative to another entity.
-
D.
isOutdoorFriendly
Indicates that something is suitable for use, presence, or activity in outdoor environments without causing problems or undue risk.
-
E.
outdoorActivityType
Indicates the specific kind of outdoor activity associated with an entity or event.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b1fe2cd08190bfaf28daae4f5233 |
completed | April 22, 2026, 11:33 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:43 p.m.