Triple
T122195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil War (Oregon–Oregon State football rivalry) |
E2471
|
entity |
| Predicate | seasonalTiming |
P1166
|
FINISHED |
| Object | late college football season |
—
|
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: late college football season | Statement: [Civil War (Oregon–Oregon State football rivalry), seasonalTiming, late college football season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalTiming Context triple: [Civil War (Oregon–Oregon State football rivalry), seasonalTiming, late college football season]
-
A.
hasSeasonalPattern
Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
-
B.
season
chosen
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
C.
seasonStructure
Indicates how a season is organized or structured in terms of its component parts, phases, or format.
-
D.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
E.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.