Triple
T18320593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Breeders’ Cup Classic |
E438865
|
entity |
| Predicate | attractedField |
P1347
|
FINISHED |
| Object | elite international field |
—
|
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: elite international field | Statement: [2007 Breeders’ Cup Classic, attractedField, elite international field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractedField Context triple: [2007 Breeders’ Cup Classic, attractedField, elite international field]
-
A.
attracts
chosen
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
B.
inspiredField
Indicates that one entity served as a source of inspiration or influence for the development, direction, or characteristics of a particular field or domain.
-
C.
unrealizedAttractionFor
Indicates a one-sided or mutual romantic or emotional attraction between entities that has not been acted upon or developed into an actual relationship.
-
D.
succeededByAttraction
Indicates that one attraction or point of interest is directly followed or replaced by another attraction in a sequence or timeline.
-
E.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
- 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_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. |
Created at: April 10, 2026, 10:36 a.m.