Triple
T35133553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beothuk language |
E1014505
|
entity |
| Predicate | hasLexicalInformation |
P196058
|
FINISHED |
| Object | limited vocabulary lists |
—
|
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: limited vocabulary lists | Statement: [Beothuk language, hasLexicalInformation, limited vocabulary lists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLexicalInformation Context triple: [Beothuk language, hasLexicalInformation, limited vocabulary lists]
-
A.
hasGrammarInformation
Indicates that an entity is associated with specific grammatical details or annotations, such as part of speech, inflection, or syntactic properties.
-
B.
hasLexicalEvidenceType
Indicates that there exists a specified type or category of lexical evidence supporting or characterizing a given relationship or assertion.
-
C.
hasLexicalReconstruction
Indicates that there exists a hypothesized or reconstructed lexical form corresponding to a word or expression, typically inferred for an earlier or unattested stage of a language.
-
D.
hasLexicalReconstructionDomain
Indicates that something belongs to or is associated with a particular domain or scope within which its lexical reconstruction is defined or applicable.
-
E.
hasLexicalDifferencesWith
Indicates that two linguistic items differ from each other in their word choice or lexical form.
- F. None of above. chosen
Provenance (4 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69fe031af3248190816da6829aef7bab |
completed | May 8, 2026, 3:36 p.m. |
Created at: May 3, 2026, 4:02 p.m.