Triple
T6367578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodwood Racecourse |
E143264
|
entity |
| Predicate | distanceSpecialism |
P70233
|
FINISHED |
| Object | sprint races |
—
|
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: sprint races | Statement: [Goodwood Racecourse, distanceSpecialism, sprint races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceSpecialism Context triple: [Goodwood Racecourse, distanceSpecialism, sprint races]
-
A.
distanceSpecialty
Indicates a relationship where an entity’s specialty or expertise is specifically in the field or domain of distance (e.g., distance learning, distance measurement, or distance-related services).
-
B.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
C.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
D.
distanceCategory
Indicates the qualitative classification of how far apart two entities are from each other (e.g., near, medium, far).
-
E.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
- F. None of above. chosen
Provenance (4 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068251ae48190af8201d5f9ad35b6 |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:32 p.m.