Triple
T17725242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UAE 2000 Guineas |
E442444
|
entity |
| Predicate | formerDistance |
P128748
|
FINISHED |
| Object | 1600 metres |
—
|
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: 1600 metres | Statement: [UAE 2000 Guineas, formerDistance, 1600 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerDistance Context triple: [UAE 2000 Guineas, formerDistance, 1600 metres]
-
A.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
B.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
C.
formerDuration
Indicates that a relationship or state held in the past for a specified length of time but no longer holds in the present.
-
D.
distanceFromPredecessor
Indicates the measured distance separating an entity from the one that immediately precedes it in a sequence or ordering.
-
E.
distanceMetric
Indicates a quantitative measure of how far apart two entities are within a given space or according to a specified metric.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47489c59c8190bbffefad20dc6346 |
completed | April 19, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:07 a.m.