Triple
T19699280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enneco |
E473046
|
entity |
| Predicate | hasLinguisticOriginType |
P1754
|
FINISHED |
| Object | pre-Roman Iberian (Basque) |
—
|
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: pre-Roman Iberian (Basque) | Statement: [Enneco, hasLinguisticOriginType, pre-Roman Iberian (Basque)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLinguisticOriginType Context triple: [Enneco, hasLinguisticOriginType, pre-Roman Iberian (Basque)]
-
A.
hasLinguisticVariationType
Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
-
B.
hasLexicalCategoryOfOrigin
Indicates that one entity originates from, or is derived based on, the lexical category (such as noun, verb, adjective, etc.) of another entity.
-
C.
hasLinguisticClassificationSource
Indicates the source or reference from which a linguistic classification has been derived or documented.
-
D.
hasLanguageOfOrigin
chosen
Indicates that one entity has its origin or source in the language specified by another entity.
-
E.
hasLinguisticDomain
Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language context.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b426608190a46abec3652a6ca0 |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.