Triple
T11479498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss USA pageant |
E272104
|
entity |
| Predicate | hasContestantsFrom |
P94853
|
FINISHED |
| Object | 50 U.S. states |
—
|
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: 50 U.S. states | Statement: [Miss USA pageant, hasContestantsFrom, 50 U.S. states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContestantsFrom Context triple: [Miss USA pageant, hasContestantsFrom, 50 U.S. states]
-
A.
featuresContestantsFrom
chosen
Indicates that something, typically a show or event, includes contestants originating from a specified source or group.
-
B.
featuresContestants
Indicates that something (such as an event, show, or competition) includes or presents certain individuals as contestants.
-
C.
contestantOn
Indicates that one entity participates as a competitor in a contest, show, or competition associated with another entity.
-
D.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
E.
hasNumberOfFinalists
Indicates the relationship between an entity and the count of finalists associated with it.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.