Triple
T25526724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dee Stakes |
E639794
|
entity |
| Predicate | isDerbyTrial |
P158626
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dee Stakes, isDerbyTrial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDerbyTrial Context triple: [Dee Stakes, isDerbyTrial, true]
-
A.
isDerby
Indicates that a competition or match is a derby, typically involving teams or participants from the same locality or with a strong rivalry.
-
B.
hasDerbyStatus
Indicates that an entity holds a specific status or classification related to a derby event or competition.
-
C.
hasDerbyName
Indicates that an entity is known by or uses a specific derby name, typically as an alternate or performance-related identity.
-
D.
typeOfDerby
Indicates that one entity is a specific kind or category of derby in relation to another entity.
-
E.
isFromCityWithDerby
Indicates that an entity originates from a city that has a football (or sports) derby with another team from the same city.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f86073d0819093afb1d79b97bccc |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 3:11 p.m.