Triple
T11126388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Lakers–Los Angeles Clippers rivalry |
E263149
|
entity |
| Predicate | team1ChampionshipHistory |
P63626
|
FINISHED |
| Object | Lakers have multiple NBA championships |
—
|
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: Lakers have multiple NBA championships | Statement: [Los Angeles Lakers–Los Angeles Clippers rivalry, team1ChampionshipHistory, Lakers have multiple NBA championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team1ChampionshipHistory Context triple: [Los Angeles Lakers–Los Angeles Clippers rivalry, team1ChampionshipHistory, Lakers have multiple NBA championships]
-
A.
team2ChampionshipHistory
Indicates the record of championships that the second team has participated in or won over time.
-
B.
team1LeagueTitles
chosen
Indicates the number of league titles that the first team has won.
-
C.
teamWithMultipleTitles
Indicates that a team has won more than one title or championship within the relevant competition or context.
-
D.
hasTeamsChampionship
Indicates that an entity has won at least one championship title in a teams-based competition or league.
-
E.
teamHistory
Indicates that there exists a historical relationship or record connecting a team with its past events, compositions, or performance over time.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82fc5f88190b34c55de3d50f6a7 |
completed | April 9, 2026, 5:55 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.