Triple
T25970207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peterborough—Kawartha |
E645786
|
entity |
| Predicate | languageOfRepresentation |
P30204
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Peterborough—Kawartha, languageOfRepresentation, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfRepresentation Context triple: [Peterborough—Kawartha, languageOfRepresentation, English]
-
A.
hasLanguageRepresentation
chosen
Indicates that an entity is expressed, encoded, or represented using a particular natural or formal language.
-
B.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
C.
languageOfNotation
Indicates the language in which a given notation, script, or symbolic system is expressed or encoded.
-
D.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
E.
hasRepresentativeLanguage
Indicates that an entity is associated with a language that serves as its primary or officially recognized means of representation or communication.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 22, 2026, 8:50 a.m.