Triple
T29228255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the Reunited Kingdom |
E740991
|
entity |
| Predicate | hasCanonicalLanguageVersion |
P134129
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [King of the Reunited Kingdom, hasCanonicalLanguageVersion, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalLanguageVersion Context triple: [King of the Reunited Kingdom, hasCanonicalLanguageVersion, English]
-
A.
hasCanonicalVersionBy
Indicates that one entity is the officially recognized or standard version of another entity, as established or authored by a specific source or agent.
-
B.
hasCanonicalLanguageSource
chosen
Indicates that something is derived from, based on, or defined according to an officially recognized or standard language source.
-
C.
requiresLanguageVersion
Indicates that one entity depends on or must use a specific version of a language in order to function or be considered valid.
-
D.
hasLanguageVersionProductions
Indicates that a language version is associated with specific production instances or outputs created for that version.
-
E.
hasStandardVersion
Indicates that one entity serves as the official or canonical version of another entity.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 28, 2026, 12:17 p.m.