Triple
T24903259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VRC Oaks |
E623634
|
entity |
| Predicate | previousDistance |
P128748
|
FINISHED |
| Object | 2400 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: 2400 metres | Statement: [VRC Oaks, previousDistance, 2400 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousDistance Context triple: [VRC Oaks, previousDistance, 2400 metres]
-
A.
formerDistance
chosen
Indicates that a distance or spatial separation between entities existed in the past but no longer holds in the present.
-
B.
distanceFromPredecessor
Indicates the measured distance separating an entity from the one that immediately precedes it in a sequence or ordering.
-
C.
primaryDistance
Indicates the main or most significant measure of distance between two entities in the relationship.
-
D.
distanceChange
Indicates a change in the spatial distance between two entities over time.
-
E.
distanceChangedTo
Indicates that the distance between two entities has been updated from a previous value to a new specified value.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:27 a.m.