Triple
T355339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxboro Stadium |
E7529
|
entity |
| Predicate | ownerDuringNFLEra |
P11633
|
FINISHED |
| Object | New England Patriots ownership |
—
|
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: New England Patriots ownership | Statement: [Foxboro Stadium, ownerDuringNFLEra, New England Patriots ownership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerDuringNFLEra Context triple: [Foxboro Stadium, ownerDuringNFLEra, New England Patriots ownership]
-
A.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
B.
ownsMajorFranchiseIn
Indicates that an entity has controlling or primary ownership of a major franchise operating within a specified location or jurisdiction.
-
C.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
D.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
-
E.
nflTeamTenure
Indicates the period of time that an individual was a member of a specific NFL team.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebad8bf08190b4a38ffd9157d641 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e9589e7c8190b2d3af8f858c96af |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0b23ec8190bef9d593162388a4 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.