Triple
T37903075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Switzerville, Ontario |
E945470
|
entity |
| Predicate | officialLanguageMajorityContext |
P134831
|
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: [Switzerville, Ontario, officialLanguageMajorityContext, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialLanguageMajorityContext Context triple: [Switzerville, Ontario, officialLanguageMajorityContext, English]
-
A.
hasOfficialLanguageMajority
chosen
Indicates that a specified language is spoken by the majority of the population within a given political or geographic entity.
-
B.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
C.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
-
D.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
E.
officialLanguageUse
Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
Created at: May 3, 2026, 4:20 p.m.