Triple
T15289383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Box of Moonlight |
E365486
|
entity |
| Predicate | hasRoadTrip |
P17006
|
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: [Box of Moonlight, hasRoadTrip, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadTrip Context triple: [Box of Moonlight, hasRoadTrip, true]
-
A.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
B.
travelRouteOf
Indicates the path or itinerary that an entity follows or uses when traveling from one location to another.
-
C.
hasScenicDrive
chosen
Indicates that one entity offers or features a visually appealing or picturesque driving route associated with it.
-
D.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
E.
hasRideExperience
Indicates that one entity has undergone, participated in, or possesses experience with a particular ride or riding activity in relation to another entity.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.