Triple
T5809208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Whalers |
E128823
|
entity |
| Predicate | numberOfAvcoTrophies |
P66452
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [New England Whalers, numberOfAvcoTrophies, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAvcoTrophies Context triple: [New England Whalers, numberOfAvcoTrophies, 1]
-
A.
numberOfVezinaTrophies
Indicates the count of Vezina Trophies that an entity (typically an ice hockey goaltender) has been awarded.
-
B.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
C.
numberOfSelkeTrophies
Indicates the count of Selke Trophies that an entity has been awarded.
-
D.
numberOfJenningsTrophies
Indicates the count of Jennings Trophies associated with a given entity.
-
E.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028ffe180819099e084fe557e789c |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:52 p.m.