Triple
T24770689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynah Faithful |
E619712
|
entity |
| Predicate | supportsTeamSport |
P17094
|
FINISHED |
| Object | ice hockey |
—
|
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: ice hockey | Statement: [Lynah Faithful, supportsTeamSport, ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTeamSport Context triple: [Lynah Faithful, supportsTeamSport, ice hockey]
-
A.
supportsTeam
Indicates that one entity provides backing, assistance, or endorsement to a particular team.
-
B.
supportsTeamLevel
Indicates that one entity provides assistance, resources, or endorsement to a team as a whole rather than to individual members.
-
C.
supportsTeamFrom
Indicates that one entity actively backs, favors, or roots for a particular team.
-
D.
associatedWithTeamSport
chosen
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
E.
supportsTeamIdentity
Indicates that one entity contributes to establishing, reinforcing, or maintaining the shared identity of a team.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 4:29 a.m.