Triple
T1757292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Lions |
E38576
|
entity |
| Predicate | leagueChampionshipsPreSuperBowlEra |
P5398
|
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: [Detroit Lions, leagueChampionshipsPreSuperBowlEra, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueChampionshipsPreSuperBowlEra Context triple: [Detroit Lions, leagueChampionshipsPreSuperBowlEra, 4]
-
A.
nflChampionshipsPreSuperBowl
chosen
Indicates the number of NFL championships a team won before the start of the Super Bowl era.
-
B.
SuperBowlChampionCount
Indicates the number of Super Bowl championships an entity (typically a team or franchise) has won.
-
C.
nflProBowls
Indicates the number of times a player has been selected to participate in the NFL Pro Bowl all-star game.
-
D.
appearedInSuperBowl
Indicates that the entity participated as a player, coach, or key contributor in at least one Super Bowl game.
-
E.
previousSuperBowl
Indicates that one Super Bowl event immediately precedes another in chronological order.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.