Triple
T16202149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drakolimni of Tymfi |
E393228
|
entity |
| Predicate | faunaCommonName |
P54673
|
FINISHED |
| Object | alpine newt |
—
|
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: alpine newt | Statement: [Drakolimni of Tymfi, faunaCommonName, alpine newt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faunaCommonName Context triple: [Drakolimni of Tymfi, faunaCommonName, alpine newt]
-
A.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
B.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
C.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
D.
commonNameOfNotableSpecies
chosen
Indicates that the subject is a commonly used vernacular or everyday name for a notable or well-known biological species.
-
E.
faunaOrigin
Indicates the place or source from which an animal species or population originates.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270b84408190bfbf68f32bfc5b1a |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.