Triple
T1112151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 NBA Finals |
E11018
|
entity |
| Predicate | championFranchiseTitleNumber |
P14144
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [2008 NBA Finals, championFranchiseTitleNumber, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championFranchiseTitleNumber Context triple: [2008 NBA Finals, championFranchiseTitleNumber, 17]
-
A.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
B.
championshipWithTeam
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
C.
leagueChampionFranchisePennantCount
chosen
Indicates the number of league championship pennants won by a given franchise.
-
D.
championshipName
Indicates the name or title assigned to a specific championship event or competition.
-
E.
championshipFor
Indicates that a championship event or title is held, awarded, or designated for a particular competition, season, or category.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.