Triple
T10744345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPHL |
E253411
|
entity |
| Predicate | hasMemberClubs |
P18795
|
FINISHED |
| Object | professional ice hockey teams |
—
|
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: professional ice hockey teams | Statement: [SPHL, hasMemberClubs, professional ice hockey teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberClubs Context triple: [SPHL, hasMemberClubs, professional ice hockey teams]
-
A.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
B.
hasMultiClubNetwork
Indicates that an entity is part of, or associated with, a network comprising multiple clubs under common ownership, management, or affiliation.
-
C.
hasMemberOrganizationsIn
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
-
D.
memberClubsType
chosen
Indicates that an entity is associated as a member with clubs of a specified type or category.
-
E.
hasHomeClub
Indicates that an entity (typically a person, such as an athlete) is associated with a particular club as their primary or official home organization.
- F. None of above.
Provenance (3 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b6b4b48190bad08500fa963062 |
completed | April 9, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.