Triple
T18320624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Stephen Foster Handicap |
E438866
|
entity |
| Predicate | going |
P131369
|
FINISHED |
| Object | fast |
—
|
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: fast | Statement: [2008 Stephen Foster Handicap, going, fast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: going Context triple: [2008 Stephen Foster Handicap, going, fast]
-
A.
wentTo
Indicates that one entity traveled or moved from its original location to another specified place.
-
B.
goesTo
Indicates that one entity moves or travels from its current location to another specified location or entity.
-
C.
letsGo
Indicates that one entity invites or prompts another (or a group) to depart or proceed together to a destination or activity.
-
D.
typicalGoing
Indicates that an entity is engaged in or undergoing a normal, expected instance of going or movement from one place to another.
-
E.
boarding
Indicates that one entity is getting onto or entering a vehicle, vessel, or similar conveyance associated with another entity.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
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, 10:36 a.m.