Triple
T26761871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford University Fencing Club |
E674825
|
entity |
| Predicate | fieldsTeamsOf |
P96727
|
FINISHED |
| Object | students |
—
|
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: students | Statement: [Oxford University Fencing Club, fieldsTeamsOf, students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldsTeamsOf Context triple: [Oxford University Fencing Club, fieldsTeamsOf, students]
-
A.
fieldsTeam
Indicates that an entity is a member of, or associated as part of, a particular team.
-
B.
featuresTeams
Indicates that something prominently presents or includes specific teams as a central element or focus.
-
C.
fieldsTeamsIn
chosen
Indicates that an entity organizes and sends a team to participate in a particular event, league, or competition.
-
D.
stateTeamOf
Indicates that one entity is the official team representing a particular state associated with another entity.
-
E.
featuredTeam
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
- 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 3:58 a.m.