Triple
T24892727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annappes |
E623046
|
entity |
| Predicate | nativeLanguageRegion |
P10892
|
FINISHED |
| Object | Picard language |
—
|
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: Picard language | Statement: [Annappes, nativeLanguageRegion, Picard language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeLanguageRegion Context triple: [Annappes, nativeLanguageRegion, Picard language]
-
A.
regionLanguage
chosen
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
B.
nativeLanguage
Indicates the language that a person or entity originally learned and uses as their primary or first language.
-
C.
formerLanguageRegion
Indicates that a region previously used a particular language as significant or dominant, but no longer does so.
-
D.
primaryLanguageCountry
Indicates that a given language is the main or officially predominant language used within a particular country.
-
E.
sourceLanguageRegion
Indicates the geographic or cultural region associated with the language from which something originates or is derived.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:26 a.m.