Triple
T18110565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epsom Oaks |
E433461
|
entity |
| Predicate | filliesTripleCrownWith |
P77265
|
FINISHED |
| Object | 1000 Guineas |
—
|
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: 1000 Guineas | Statement: [Epsom Oaks, filliesTripleCrownWith, 1000 Guineas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filliesTripleCrownWith Context triple: [Epsom Oaks, filliesTripleCrownWith, 1000 Guineas]
-
A.
tripleCrownCompanions
chosen
Indicates that the entities are companions or jointly associated in the context of a Triple Crown achievement or event.
-
B.
tripleCrownWinner
Indicates that an entity has won all three major titles or championships that together constitute a "Triple Crown" within a particular sport or competitive domain.
-
C.
developedTripleCrownIn
Indicates that an entity created or brought into existence the Triple Crown within a specified context or location.
-
D.
previousTripleCrownWinner
Indicates that one entity is the Triple Crown winner who immediately preceded the other entity in time.
-
E.
tripleCrownStatus
Indicates whether an entity has achieved, is pursuing, or holds a specific standing related to a recognized "triple crown" set of three major accomplishments or titles.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd2038081909515fb6d17495cbf |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.