Triple
T32713243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967 NBA Finals |
E836452
|
entity |
| Predicate | runnerUpTeamFranchise |
P175034
|
FINISHED |
| Object | Golden State Warriors franchise |
—
|
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 State Warriors franchise | Statement: [1967 NBA Finals, runnerUpTeamFranchise, Golden State Warriors franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpTeamFranchise Context triple: [1967 NBA Finals, runnerUpTeamFranchise, Golden State Warriors franchise]
-
A.
runnerUpTeamOwner
Indicates the owner of the team that finished as the runner-up in a competition or league.
-
B.
successorTeamFranchise
Indicates that one team franchise is the direct successor or continuation of another team franchise, typically following relocation, renaming, or reorganization.
-
C.
teamFranchise
Indicates that a sports team is associated with, or belongs to, a particular franchise organization.
-
D.
team2Franchise
Indicates a relationship where a second team is associated with, or belongs to, a particular franchise.
-
E.
team1Franchise
Indicates that an entity serves as or represents the franchise associated with the first team in a given sports or competitive context.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:11 a.m.