Triple
T38099019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sportsnet Now |
E951324
|
entity |
| Predicate | streamsLeague |
P190015
|
FINISHED |
| Object | NHL |
—
|
NE NERFINISHED |
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: NHL | Statement: [Sportsnet Now, streamsLeague, NHL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streamsLeague Context triple: [Sportsnet Now, streamsLeague, NHL]
-
A.
feedsLeague
Indicates that one entity provides food or nourishment to a sports league or organized competitive group.
-
B.
professionalLeaguePioneer
Indicates that an entity played a pioneering or foundational role in the establishment or early development of a professional sports league.
-
C.
league2
Indicates that an entity participates in, is a member of, or is otherwise affiliated with a specific sports league or competitive organization.
-
D.
NLTeamLeague
Indicates a relationship where a national league team competes in or is a member of a specific league.
-
E.
team1League
Indicates the league or competition in which the first team (team1) participates or is classified.
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.