Triple
T5901390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Celtics–New York Knicks rivalry |
E131233
|
entity |
| Predicate | bothOriginalBAATeams |
P1747
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Boston Celtics–New York Knicks rivalry, bothOriginalBAATeams, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bothOriginalBAATeams Context triple: [Boston Celtics–New York Knicks rivalry, bothOriginalBAATeams, true]
-
A.
originalBAATeam
chosen
Indicates that an entity is (or was) a member of the original BAA team associated with another entity (such as an organization, project, or initiative).
-
B.
formerBAATeam
Indicates that an entity previously belonged to or was a member of a BA (Business Analyst or similarly designated) team, but is no longer part of that team.
-
C.
ABAteam
Indicates a relationship where an entity is a team that competes in or is affiliated with the American Basketball Association (ABA).
-
D.
originalTeam2Name
Indicates the name of the second team as it was originally designated or recorded.
-
E.
team2
Indicates that the second team involved in a competitive or collaborative context is associated with a given entity or event.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.