Triple
T14947328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 NBA Finals |
E372698
|
entity |
| Predicate | warriorsTitleInEightYears |
P116793
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2022 NBA Finals, warriorsTitleInEightYears, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warriorsTitleInEightYears Context triple: [2022 NBA Finals, warriorsTitleInEightYears, 4]
-
A.
estimatedWarriors
Indicates an approximate or inferred count of warriors associated with a given entity or context.
-
B.
warriorsFinalsStreak
Indicates the relationship where the Golden State Warriors appear in consecutive NBA Finals across multiple seasons.
-
C.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
D.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
E.
previousFranchiseTitleYear
Indicates the year in which the immediately preceding title in the same franchise was released.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:39 a.m.