Triple
T38210119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1892 Yale Bulldogs football team |
E1010515
|
entity |
| Predicate | pointsAgainst |
P191419
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [1892 Yale Bulldogs football team, pointsAgainst, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsAgainst Context triple: [1892 Yale Bulldogs football team, pointsAgainst, 0]
-
A.
pointsScored
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
-
B.
points
Indicates that one entity directs attention, focus, or a physical/abstract indication toward another entity or location.
-
C.
batsAgainst
Indicates that one participant serves as the batter facing another participant as the opposing pitcher in a baseball matchup.
-
D.
pointsForWin
Indicates the number of points awarded to an entity for achieving a win in a given context or competition.
-
E.
penaltyPoints
Indicates that a certain number of negative points or demerits are assigned to an entity as a consequence of a rule violation, error, or infraction.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:30 p.m.