Triple
T4329865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preakness Stakes |
E96720
|
entity |
| Predicate | distanceChange |
P55592
|
FINISHED |
| Object | the race distance has changed multiple times in its history |
—
|
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: the race distance has changed multiple times in its history | Statement: [Preakness Stakes, distanceChange, the race distance has changed multiple times in its history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceChange Context triple: [Preakness Stakes, distanceChange, the race distance has changed multiple times in its history]
-
A.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
B.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
C.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
D.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
E.
pointDifference
Indicates the numerical difference in points or scores between two compared entities.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3513545fc81909e29de7eae1829f7 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:13 p.m.