Triple
T22198167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolomite Ladin varieties |
E548600
|
entity |
| Predicate | haveLexicalFeature |
P7161
|
FINISHED |
| Object | conservation of archaic Romance vocabulary |
—
|
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: conservation of archaic Romance vocabulary | Statement: [Dolomite Ladin varieties, haveLexicalFeature, conservation of archaic Romance vocabulary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveLexicalFeature Context triple: [Dolomite Ladin varieties, haveLexicalFeature, conservation of archaic Romance vocabulary]
-
A.
hasLinguisticFeature
Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
-
B.
hasLinguisticAreaFeature
Indicates that a linguistic area possesses or is characterized by a particular linguistic feature or property.
-
C.
hasVerbalFeature
Indicates that an entity possesses a specific verbal property, characteristic, or behavior related to speech or language.
-
D.
hasLinguisticElement
chosen
Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
-
E.
linguisticFeature
Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae8c74c819080c7f9e8383ecaa7 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.