Triple
T32593509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prairie du Rocher |
E833133
|
entity |
| Predicate | languageOfFoundingCommunity |
P25083
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Prairie du Rocher, languageOfFoundingCommunity, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFoundingCommunity Context triple: [Prairie du Rocher, languageOfFoundingCommunity, French]
-
A.
languageOfFounders
chosen
Indicates the language or languages spoken or used by the founders of an entity.
-
B.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
C.
languageOfAdoption
Indicates the language in which an adoption (e.g., of a text, standard, or practice) is formally made or recorded.
-
D.
languageOfUnion
Indicates that a specified language is officially used or recognized as a language of a particular union or union-level entity.
-
E.
laterLanguageOfCommunity
Indicates that one language developed later in time as the language used by a particular community, succeeding an earlier community language.
- 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_69f34929ff648190aded9424aa7564ae |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: May 1, 2026, 1:05 a.m.