Triple
T6253088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodwood Circuit |
E140093
|
entity |
| Predicate | hasSpectatorBanking |
P13691
|
FINISHED |
| Object | grass banks around much of the circuit |
—
|
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: grass banks around much of the circuit | Statement: [Goodwood Circuit, hasSpectatorBanking, grass banks around much of the circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpectatorBanking Context triple: [Goodwood Circuit, hasSpectatorBanking, grass banks around much of the circuit]
-
A.
hasBankingInTurns
Indicates that an entity participates in banking activities that occur in discrete, alternating turns rather than continuously.
-
B.
hasBankingOnApron
Indicates that an entity (such as a structure or platform) has a banking or sloped edge feature present on its apron area.
-
C.
hasSpectators
Indicates that an event, activity, or occurrence is being watched or attended by one or more spectators.
-
D.
hasSpectatorType
Indicates that an event or activity is associated with a particular category or type of spectator.
-
E.
hasSpectatorArea
chosen
Indicates that a location or facility includes a designated area intended for spectators to observe an event or activity.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063417c8c8190945049881819d307 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.