Triple
T31744789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover–Calais |
E810238
|
entity |
| Predicate | languageAtDover |
P153622
|
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: [Dover–Calais, languageAtDover, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageAtDover Context triple: [Dover–Calais, languageAtDover, English]
-
A.
languageOfParish
Indicates the language predominantly used or officially recognized within a given parish.
-
B.
governingLanguage
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
-
C.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
D.
languageAtTerminus
chosen
Indicates the language used or associated with the endpoint or terminus of something (such as a route, connection, or communication).
-
E.
languageUsedInDepiction
Indicates that a particular language is used within a depiction, such as in its text, dialogue, or other linguistic content.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff9b1ad27081908f8a492396950795 |
completed | May 9, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69ff9a6354c48190ae21070c1424cb7a |
completed | May 9, 2026, 8:34 p.m. |
Created at: April 30, 2026, 11:26 p.m.