Triple
T18004507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 NFC Championship Game |
E430709
|
entity |
| Predicate | homeTeamSuperBowlAppearancesAfterWin |
P130091
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1989 NFC Championship Game, homeTeamSuperBowlAppearancesAfterWin, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTeamSuperBowlAppearancesAfterWin Context triple: [1989 NFC Championship Game, homeTeamSuperBowlAppearancesAfterWin, 4]
-
A.
SuperBowlAppearances
Indicates the number of times an entity has participated in a Super Bowl game.
-
B.
SuperBowlAppearanceTeam
Indicates that a team has participated in (appeared in) a Super Bowl game.
-
C.
SuperBowlAppearancesSequence
Indicates the ordered sequence in which a team has appeared in Super Bowl games over time.
-
D.
team1SuperBowlTitles
Indicates the number of Super Bowl championships that the first team has won.
-
E.
team2SuperBowlTitles
Indicates the number of Super Bowl championships won by the second team in a given context.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3eb1f748190904c8894d22cf85f |
completed | April 19, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.