Triple
T13453499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apalachee language |
E311169
|
entity |
| Predicate | linguisticDocumentationStatus |
P43659
|
FINISHED |
| Object | poorly attested |
—
|
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: poorly attested | Statement: [Apalachee language, linguisticDocumentationStatus, poorly attested]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticDocumentationStatus Context triple: [Apalachee language, linguisticDocumentationStatus, poorly attested]
-
A.
hasLinguisticDocumentation
chosen
Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
-
B.
linguisticFeatureStatus
Indicates the current condition or state of a particular linguistic feature (such as whether it is present, active, obsolete, or otherwise characterized) in relation to an entity.
-
C.
glottologStatus
Indicates the classification or status of a language or dialect as defined in the Glottolog database.
-
D.
sociolinguisticStatus
Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
-
E.
languageEndangermentStatus
Indicates the degree to which a language is at risk of falling out of use or becoming extinct.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.