Triple
T18320641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 American Horse of the Year |
E438867
|
entity |
| Predicate | winnerFoalingYear |
P128447
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [2007 American Horse of the Year, winnerFoalingYear, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerFoalingYear Context triple: [2007 American Horse of the Year, winnerFoalingYear, 2004]
-
A.
foaledInYear
chosen
Indicates that a horse (or similar animal) was born in the specified calendar year.
-
B.
foaledIn
Indicates that a horse (or similar animal) was born in a specific place or location.
-
C.
mostSuccessfulHorseYears
Indicates the years during which a particular horse achieved its highest level of success or best performance relative to other years.
-
D.
foaledOn
Indicates the specific date on which an animal, typically a horse, was born (foaled).
-
E.
foalingState
Indicates the reproductive or birthing status of an animal, specifically whether and how it is in the process of foaling.
- 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.