Triple
T26762195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford University Archery Club |
E674833
|
entity |
| Predicate | hasOpponentInVarsityMatch |
P86168
|
FINISHED |
| Object | University of Cambridge |
—
|
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: University of Cambridge | Statement: [Oxford University Archery Club, hasOpponentInVarsityMatch, University of Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpponentInVarsityMatch Context triple: [Oxford University Archery Club, hasOpponentInVarsityMatch, University of Cambridge]
-
A.
wasOpponentOf
chosen
Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
-
B.
hadPlayoffMatch
Indicates that two competitors or teams participated in a playoff match against each other.
-
C.
hasChampionshipMatch
Indicates that an entity is associated with a specific championship-level match, typically as an organizer, participant, or host.
-
D.
conferencePlayedInCollege
Indicates that a person participated in collegiate athletics within a specific athletic conference.
-
E.
hasRivalStand
Indicates that one entity maintains a competing or opposing stand, position, or operation in relation to another entity.
- 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_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 3:58 a.m.