Triple
T36584902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 NFL season |
E902494
|
entity |
| Predicate | openingKickoffDate |
P193158
|
FINISHED |
| Object | 2015-09-10 |
—
|
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: 2015-09-10 | Statement: [2015 NFL season, openingKickoffDate, 2015-09-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingKickoffDate Context triple: [2015 NFL season, openingKickoffDate, 2015-09-10]
-
A.
localKickoffTime
Indicates the scheduled start time of an event as expressed in a specific local time zone.
-
B.
openingDay
Indicates the specific day on which something, typically an event, season, or venue, officially begins or first opens to the public.
-
C.
openingMatch
Indicates that one entity serves as the initial or first match, game, or contest in a series, event, or competition involving another entity.
-
D.
openingSeason
Indicates that an entity marks the beginning or first season of another entity, such as a series, event, or competition.
-
E.
openingRace
Indicates that one race serves as the initial or first event in a sequence of races or a racing competition.
- F. None of above. chosen
Provenance (4 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: May 3, 2026, 4:11 p.m.