Triple
T18571041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Taylor |
E453871
|
entity |
| Predicate | representedNationalTeamInFormat |
P78186
|
FINISHED |
| Object | Test cricket |
—
|
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: Test cricket | Statement: [Ross Taylor, representedNationalTeamInFormat, Test cricket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedNationalTeamInFormat Context triple: [Ross Taylor, representedNationalTeamInFormat, Test cricket]
-
A.
representedNationalTeamInCompetition
Indicates that an individual was a member of and competed for a specific national team in a particular competition.
-
B.
representedNationalTeamLevel
chosen
Indicates that an entity has played for or been a member of a national team at a specified level (e.g., senior, U21, youth).
-
C.
playedForNationalTeamFrom
Indicates that an entity was a member of and played for a particular national team starting from a specified date or time period.
-
D.
nationalTeamType
Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
-
E.
previousNationalTeamEntity
Indicates that an entity previously represented a particular national team before its current or later affiliation.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b021ea4819095fe06be88e74133 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.