Triple
T17445963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese national short track speed skating team |
E424783
|
entity |
| Predicate | hasRelayTeam |
P102803
|
FINISHED |
| Object | men's relay team |
—
|
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: men's relay team | Statement: [Chinese national short track speed skating team, hasRelayTeam, men's relay team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelayTeam Context triple: [Chinese national short track speed skating team, hasRelayTeam, men's relay team]
-
A.
hasTeamFor
chosen
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
B.
hasSubteam
Indicates that one team is a subordinate or component team within another, larger team.
-
C.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
D.
hasTeamSide
Indicates that an entity is associated with or belongs to a particular side or faction of a team within a competitive or collaborative context.
-
E.
hasReserveTeam
Indicates that an organization, typically a sports club, maintains a secondary or backup team formally associated with its main 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffafec48190b25980318cea353f |
completed | April 19, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.