Triple
T33333112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alsatians |
E853462
|
entity |
| Predicate | officialStateLanguage |
P236
|
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: [Alsatians, officialStateLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialStateLanguage Context triple: [Alsatians, officialStateLanguage, French]
-
A.
officialLanguageOfSendingState
Indicates that a particular language is the designated official language used by the state that is sending a representative, document, or communication.
-
B.
officialLanguageOfHostState
Indicates that a language is the designated official language used by the host state.
-
C.
countryOfficialLanguageStatus
Indicates the status or role that a particular language holds as an official language within a given country.
-
D.
officialLanguage
chosen
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.
-
E.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: May 1, 2026, 1:34 a.m.