Triple
T4477352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess’s Stand |
E100040
|
entity |
| Predicate | positionRelativeToTrack |
P20526
|
FINISHED |
| Object | overlooking the finishing straight |
—
|
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: overlooking the finishing straight | Statement: [Duchess’s Stand, positionRelativeToTrack, overlooking the finishing straight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToTrack Context triple: [Duchess’s Stand, positionRelativeToTrack, overlooking the finishing straight]
-
A.
positionInTrackList
Indicates the specific ordered place an item occupies within a track list.
-
B.
relativePositionOnCourse
chosen
Indicates the positional relationship of one participant or object relative to another along a defined course or route.
-
C.
positionOnRemix
Indicates the specific role or placement an entity has within a remix version of a work or composition.
-
D.
positionOnAdaptation
Indicates the stance or viewpoint an entity holds regarding a particular adaptation (such as a change, modification, or version of something).
-
E.
positionInTimeScale
Indicates the specific point or interval an event or state occupies within a defined temporal scale or timeline.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.