Triple
T34315011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gopher Hole |
E880552
|
entity |
| Predicate | hasTeamNicknameOrigin |
P157082
|
FINISHED |
| Object | Golden Gophers |
—
|
NE NERFINISHED |
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: Golden Gophers | Statement: [The Gopher Hole, hasTeamNicknameOrigin, Golden Gophers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeamNicknameOrigin Context triple: [The Gopher Hole, hasTeamNicknameOrigin, Golden Gophers]
-
A.
teamColorNicknameOrigin
Indicates the origin or reason behind a sports team’s color and nickname combination.
-
B.
teamNicknamedAfter
chosen
Indicates that a team is commonly referred to by a nickname derived from or inspired by another entity.
-
C.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
D.
cityNicknameOrigin
Indicates the relationship between a city and the source, reason, or inspiration from which its nickname is derived.
-
E.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
- 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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 1, 2026, 1:57 a.m.