Triple
T32094188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christchurch Boys' High School |
E819681
|
entity |
| Predicate | hasRugbyReputation |
P178354
|
FINISHED |
| Object | produces many elite players |
—
|
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: produces many elite players | Statement: [Christchurch Boys' High School, hasRugbyReputation, produces many elite players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRugbyReputation Context triple: [Christchurch Boys' High School, hasRugbyReputation, produces many elite players]
-
A.
hasRugbyCoachCharacter
Indicates that an entity has, is associated with, or is characterized by a rugby coach as a defining attribute or role.
-
B.
hasRugbyGround
Indicates that an entity possesses, contains, or is associated with a rugby ground as a facility or location.
-
C.
playedRugbyUnionFor
Indicates that one entity was a member of and competed for a particular rugby union team or organization.
-
D.
hasRugbyUnionTeam
Indicates that an entity possesses or is associated with a rugby union team.
-
E.
roleInRugby
Indicates the specific position or function an entity holds within the context of playing or participating in rugby.
- F. None of above. chosen
Provenance (4 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: May 1, 2026, 12:25 a.m.