Triple
T31641785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand Winter Olympic Team |
E807474
|
entity |
| Predicate | oftenTrainsAbroad |
P186474
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New Zealand Winter Olympic Team, oftenTrainsAbroad, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenTrainsAbroad Context triple: [New Zealand Winter Olympic Team, oftenTrainsAbroad, true]
-
A.
travelsAbroad
Indicates that an entity goes to or spends time in a foreign country outside its usual nation of residence.
-
B.
isInternationalRailway
Indicates that a railway line, service, or connection operates across national borders between two or more countries.
-
C.
oftenTravelsTo
Indicates that one entity frequently goes to or visits another location or entity.
-
D.
hasLongDistanceTrains
Indicates that a location, station, or rail operator provides or is served by long-distance train services.
-
E.
isMainInternationalRailStopOf
Indicates that a location serves as the primary international railway stop or station for a given area, route, or settlement.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: April 30, 2026, 10:49 p.m.