Triple
T30472711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Néracais |
E775347
|
entity |
| Predicate | belongsToLinguisticType |
P196080
|
FINISHED |
| Object | gentilic |
—
|
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: gentilic | Statement: [Néracais, belongsToLinguisticType, gentilic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToLinguisticType Context triple: [Néracais, belongsToLinguisticType, gentilic]
-
A.
belongsToLinguisticRegion
Indicates that one linguistic entity (such as a language, dialect, or speech variety) is associated with or situated within a particular linguistic region or area.
-
B.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
C.
hasLinguisticVariationType
Indicates that one linguistic form is related to another by a specific type of variation, such as dialectal, orthographic, morphological, or phonological difference.
-
D.
hasLinguisticAffiliation
Indicates a relationship where an entity is associated with or belongs to a particular language or linguistic group.
-
E.
hasLinguisticDataType
Indicates that something is associated with or characterized by a specific type or category of linguistic data.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
| PDg | Predicate description generation | batch_69fe066b623c819085205fbea901e3cf |
completed | May 8, 2026, 3:51 p.m. |
Created at: April 29, 2026, 8:11 p.m.