Triple
T31641780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand Winter Olympic Team |
E807474
|
entity |
| Predicate | typicalDelegationSizeRange |
P8561
|
FINISHED |
| Object | small to medium |
—
|
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: small to medium | Statement: [New Zealand Winter Olympic Team, typicalDelegationSizeRange, small to medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDelegationSizeRange Context triple: [New Zealand Winter Olympic Team, typicalDelegationSizeRange, small to medium]
-
A.
typicalGroupSizeRange
chosen
Indicates the usual minimum and maximum number of individuals that typically occur together in a group for the given entity.
-
B.
typicalGroupSize
Indicates the usual or characteristic number of individuals that typically form a group in this context.
-
C.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
D.
clubSize
Indicates the number of members or participants in a given club.
-
E.
typicalCompanySize
Indicates the usual or most common number of employees associated with a company.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:49 p.m.