Triple
T3589533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philly Special |
E75992
|
entity |
| Predicate | scoreAfterPlay |
P49538
|
FINISHED |
| Object | Philadelphia 22 – New England 12 |
—
|
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: Philadelphia 22 – New England 12 | Statement: [Philly Special, scoreAfterPlay, Philadelphia 22 – New England 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreAfterPlay Context triple: [Philly Special, scoreAfterPlay, Philadelphia 22 – New England 12]
-
A.
seriesScoreAfterGame
Indicates the updated score or standing of a multi-game series immediately following the completion of a specific game.
-
B.
seriesScoreBeforeGame
Indicates the cumulative score or standing in a series between competitors as it existed prior to a specific game being played.
-
C.
JetsScore
Indicates that the team named Jets scores a certain number of points in a game or event.
-
D.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
E.
pointsForWin
Indicates the number of points awarded to an entity for achieving a win in a given context or 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc13c9514819096adf60b15016b8b |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.