Triple
T30647334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1982 Stanley Cup Finals |
E780157
|
entity |
| Predicate | runnerUpArena |
P119921
|
FINISHED |
| Object | Pacific Coliseum |
—
|
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: Pacific Coliseum | Statement: [1982 Stanley Cup Finals, runnerUpArena, Pacific Coliseum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpArena Context triple: [1982 Stanley Cup Finals, runnerUpArena, Pacific Coliseum]
-
A.
runnerUpHomeArena
chosen
Indicates the home arena associated with the entity that finished as runner-up in a given competition or event.
-
B.
arenaRunnerUpHome
Indicates that a competitor finished as the runner-up in an arena event held at the specified home location.
-
C.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
D.
runnerUpWins
Indicates that an entity finishes in second place in a competition or ranking and receives the corresponding runner-up victory or award.
-
E.
runnerUpDriver
Indicates that one driver finished in second place relative to others in a race or competition.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a9478808190918446246537dcdd |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:29 p.m.