Triple
T23855115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olney Pancake Race |
E592282
|
entity |
| Predicate | twinRaceLocation |
P21366
|
FINISHED |
| Object | Liberal, Kansas, United States |
—
|
NE NERFINISHED |
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: Liberal, Kansas, United States | Statement: [Olney Pancake Race, twinRaceLocation, Liberal, Kansas, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twinRaceLocation Context triple: [Olney Pancake Race, twinRaceLocation, Liberal, Kansas, United States]
-
A.
hasRaceLocation
Indicates that an event or entity is associated with the specific location where a race takes place.
-
B.
locationOfCompetition
chosen
Indicates the place or venue where a competition or contest takes or took place.
-
C.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
D.
featuresRaceBetween
Indicates that an event or context includes or showcases a competitive race occurring between participants.
-
E.
appearsInRace
Indicates that an entity participates as a competitor or entrant in a specific race event.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98a60b081908dbdc359f51e67fa |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.