Triple
T16144448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1964 Stanley Cup playoffs |
E391741
|
entity |
| Predicate | championTitleCountForToronto |
P121293
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1964 Stanley Cup playoffs, championTitleCountForToronto, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTitleCountForToronto Context triple: [1964 Stanley Cup playoffs, championTitleCountForToronto, 3]
-
A.
championTitleCountForCanada
Indicates the number of championship titles that have been won on behalf of Canada.
-
B.
championTitleCountSinceMoveToSanFrancisco
Indicates the number of championship titles an entity has won since relocating to San Francisco.
-
C.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
D.
championConsecutiveTitlesStart
Indicates the point in time or event at which an entity begins a streak of winning championship titles in consecutive editions of a competition.
-
E.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d92b0408190a010bd8e5193aa36 |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.