Triple
T28764240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Euliano Park |
E726212
|
entity |
| Predicate | isOnCampusStadiumFor |
P36352
|
FINISHED |
| Object | University of Central Florida |
—
|
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: University of Central Florida | Statement: [John Euliano Park, isOnCampusStadiumFor, University of Central Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnCampusStadiumFor Context triple: [John Euliano Park, isOnCampusStadiumFor, University of Central Florida]
-
A.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
B.
isPartOfCampus
chosen
Indicates that one place, facility, or area is located within and belongs to a larger campus.
-
C.
hasNearbyStadium
Indicates that one entity is located close to or in the vicinity of a stadium associated with another entity.
-
D.
isCampusFor
Indicates that a location serves as the campus associated with a particular institution or organization.
-
E.
containsStadium
Indicates that a location or area includes a stadium within its boundaries or premises.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:13 a.m.