Triple
T30368277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn–La Salle basketball rivalry |
E772478
|
entity |
| Predicate | teamNicknamePenn |
P5076
|
FINISHED |
| Object | Quakers |
—
|
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: Quakers | Statement: [Penn–La Salle basketball rivalry, teamNicknamePenn, Quakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNicknamePenn Context triple: [Penn–La Salle basketball rivalry, teamNicknamePenn, Quakers]
-
A.
teamNicknamePennState
Indicates that the object is a nickname used for the sports teams representing Penn State University.
-
B.
mostPennantsTeam
Indicates that the subject is the team that has won the greatest number of league pennants within a specified context or league.
-
C.
teamNickname
chosen
Indicates the commonly used informal or symbolic name by which a team is known.
-
D.
pennantTeam
Indicates that a team has won or represents the league or conference pennant for a given season or competition.
-
E.
pennantRaceNickname
Indicates a nickname or informal name used to refer to a specific pennant race in sports.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682812b90819099d2ebb8bb2953b6 |
completed | May 2, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:59 p.m.