Triple
T28923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Bondra |
E576
|
entity |
| Predicate | gamesInNHLRegularSeason |
P2217
|
FINISHED |
| Object | 1081 |
—
|
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: 1081 | Statement: [Peter Bondra, gamesInNHLRegularSeason, 1081]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamesInNHLRegularSeason Context triple: [Peter Bondra, gamesInNHLRegularSeason, 1081]
-
A.
leaguePennants
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
-
B.
competitionSeason
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
C.
GLeagueAffiliate
Indicates that one basketball team serves as the NBA G League affiliate (developmental partner) of another team.
-
D.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
-
E.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24925607c8190a9ce7ec834f3e5bb |
completed | Feb. 28, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69a2486bd74c81908d32be3c7d22f51f |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249246968819099985f13127063d2 |
completed | Feb. 28, 2026, 1:47 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.