Triple
T5869486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hi Corbett Field |
E130477
|
entity |
| Predicate | primaryUseSince |
P4017
|
FINISHED |
| Object | Arizona Wildcats baseball home games |
—
|
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: Arizona Wildcats baseball home games | Statement: [Hi Corbett Field, primaryUseSince, Arizona Wildcats baseball home games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseSince Context triple: [Hi Corbett Field, primaryUseSince, Arizona Wildcats baseball home games]
-
A.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
B.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
C.
inUseSince
Indicates that an entity has been actively in use starting from a specified point in time.
-
D.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
E.
periodOfMajorUse
chosen
Indicates the time span during which something was primarily or most intensively used.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.