Triple
T18244894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace Malice |
E436923
|
entity |
| Predicate | hasRacingSurfacePreference |
P130998
|
FINISHED |
| Object | dirt |
—
|
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: dirt | Statement: [Palace Malice, hasRacingSurfacePreference, dirt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacingSurfacePreference Context triple: [Palace Malice, hasRacingSurfacePreference, dirt]
-
A.
hasRaceSurface
Indicates that an event or activity takes place on, or is associated with, a specific type of race surface.
-
B.
hasRacingDiscipline
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
C.
hasRacecourseFeature
Indicates that something possesses or includes a specific feature or characteristic related to a racecourse.
-
D.
hasCourtSurface
Indicates that something (such as a court or playing area) possesses a specific type of surface.
-
E.
hasTrackSurface
Indicates that an entity (such as a track) possesses or is characterized by a particular type of surface.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e5d63081908d0e6249578867a1 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:33 a.m.