Triple
T4349551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Oaks Stakes |
E97987
|
entity |
| Predicate | numberInBritishClassics |
P55677
|
FINISHED |
| Object | one of five Classics |
—
|
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: one of five Classics | Statement: [The Oaks Stakes, numberInBritishClassics, one of five Classics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInBritishClassics Context triple: [The Oaks Stakes, numberInBritishClassics, one of five Classics]
-
A.
numberInClassicalTradition
Indicates that an entity is associated with a specific number as defined or used within a particular classical tradition (e.g., mythology, religion, or philosophy).
-
B.
classificationByUK
Indicates a relationship where an entity is assigned a category, status, or type according to a United Kingdom–specific classification system.
-
C.
literaryCollection
Indicates that one entity is a collection or compilation of literary works that includes or is associated with the other entity.
-
D.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
E.
consideredClassic
Indicates that something is widely regarded or recognized as a classic within a particular field, genre, or context.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a840248190b88c8a7be9158d25 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:15 p.m.