Triple
T31779862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerri Gowler |
E811169
|
entity |
| Predicate | hasTrainingBaseCountry |
P41472
|
FINISHED |
| Object | New Zealand |
—
|
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: New Zealand | Statement: [Kerri Gowler, hasTrainingBaseCountry, New Zealand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingBaseCountry Context triple: [Kerri Gowler, hasTrainingBaseCountry, New Zealand]
-
A.
hasTrainingBaseIn
Indicates that an entity maintains or operates a training base located in a specified place.
-
B.
countryOfTraining
chosen
Indicates the country in which an entity received its training or education.
-
C.
hasTrainerNationality
Indicates that the nationality of a trainer is associated with a particular entity (such as a person, team, or athlete).
-
D.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
E.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: April 30, 2026, 11:36 p.m.