Triple
T7594738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL First All-Star Team |
E179828
|
entity |
| Predicate | numberOfForwards |
P78061
|
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: [NHL First All-Star Team, numberOfForwards, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfForwards Context triple: [NHL First All-Star Team, numberOfForwards, 3]
-
A.
numberOfSees
Indicates the count of times a seeing or viewing event occurs between entities.
-
B.
transmittedIn
Indicates that something (such as information, a signal, or a disease) is passed or conveyed within or through a particular medium, environment, or context.
-
C.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
D.
branchCount
Indicates the number of branches associated with a given entity or structure.
-
E.
bookmarkCount
Indicates the number of times an item has been bookmarked by users.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:53 p.m.