Triple
T15852049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Kent |
E384363
|
entity |
| Predicate | nationalityOfOperator |
P38659
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [Short Kent, nationalityOfOperator, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfOperator Context triple: [Short Kent, nationalityOfOperator, British]
-
A.
operatorNationality
chosen
Indicates that an operator has a specific national affiliation or country of origin.
-
B.
refersToCountryOfOperator
Indicates that something is associated with, or points to, the country where its operating organization or operator is based.
-
C.
wirelessOperator
Indicates that an entity operates, manages, or provides services for a wireless communication system or network for another entity.
-
D.
providerCountry
Indicates the country that serves as the source or origin of the provider in the relationship.
-
E.
countryOperator
Indicates that an entity operates, manages, or runs services within a specified 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.