Triple
T441946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL International Series |
E10131
|
entity |
| Predicate | firstGameType |
P8300
|
FINISHED |
| Object | regular-season game |
—
|
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: regular-season game | Statement: [NFL International Series, firstGameType, regular-season game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGameType Context triple: [NFL International Series, firstGameType, regular-season game]
-
A.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
-
B.
hasGameType
chosen
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
C.
includesGameType
Indicates that one entity contains or supports a particular type or category of game.
-
D.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
E.
decidingGameNumber
Indicates the specific game in a series whose outcome determines the overall winner of the series.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef42b4008190abed9d79926c7022 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.