Triple
T2928496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1992–93 NHL season |
E78901
|
entity |
| Predicate | scoringLeaderAssists |
P43997
|
FINISHED |
| Object | 91 |
—
|
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: 91 | Statement: [1992–93 NHL season, scoringLeaderAssists, 91]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoringLeaderAssists Context triple: [1992–93 NHL season, scoringLeaderAssists, 91]
-
A.
leagueLeader
Indicates that the subject entity is currently ranked first or holds the top position within a specified league or competitive grouping.
-
B.
MVPAssists
Indicates that one entity, recognized as the most valuable player (MVP), provides assistance or support to another entity in achieving a goal or outcome.
-
C.
topScorerPoints
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
D.
winsLeader
Indicates that one entity achieves victory or leadership over another in a competitive or comparative context.
-
E.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97ff0ddc8190acba9863bbe4f54b |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:55 p.m.