Triple
T4572538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Isla |
E123065
|
entity |
| Predicate | hasRecreationRouteType |
P17835
|
FINISHED |
| Object | long-distance paths |
—
|
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: long-distance paths | Statement: [Glen Isla, hasRecreationRouteType, long-distance paths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecreationRouteType Context triple: [Glen Isla, hasRecreationRouteType, long-distance paths]
-
A.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
-
B.
hasRecreationalRoute
chosen
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
-
C.
hasRecreationClassification
Indicates that an entity is assigned a specific type or category of recreational use or activity.
-
D.
hasRecreationActivity
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
E.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c711408190a2b096daf57e6eac |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.