Triple
T15842195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spa 24 Hours |
E384125
|
entity |
| Predicate | hasSpectatorFeature |
P50637
|
FINISHED |
| Object | night-time running with illuminated cars |
—
|
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: night-time running with illuminated cars | Statement: [Spa 24 Hours, hasSpectatorFeature, night-time running with illuminated cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpectatorFeature Context triple: [Spa 24 Hours, hasSpectatorFeature, night-time running with illuminated cars]
-
A.
hasSpectatorType
Indicates that an event or activity is associated with a particular category or type of spectator.
-
B.
hasSpectators
Indicates that an event, activity, or occurrence is being watched or attended by one or more spectators.
-
C.
hasSpectatorArea
Indicates that a location or facility includes a designated area intended for spectators to observe an event or activity.
-
D.
hasSpectatorAmenities
chosen
Indicates that a place or facility provides amenities or features intended for the comfort or convenience of spectators.
-
E.
spectatorRestrictions
Indicates limitations, conditions, or rules governing who may be present as spectators and under what circumstances.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e88ff08190a1035269e8fdaa6a |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.