Triple
T24843563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baceno |
E621678
|
entity |
| Predicate | isAlpineMunicipality |
P78502
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Baceno, isAlpineMunicipality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAlpineMunicipality Context triple: [Baceno, isAlpineMunicipality, true]
-
A.
isMountainMunicipality
chosen
Indicates that a municipality is classified as being located in a mountainous area or characterized by predominantly mountainous terrain.
-
B.
isAlpineResort
Indicates that the subject is a resort located in, or characteristic of, an alpine (mountainous) region.
-
C.
isAlpineSummit
Indicates that the subject is a mountain summit located within an alpine (high-mountain) environment.
-
D.
isLakesideMunicipality
Indicates that a municipality is located on the shore of a lake or directly borders a lake.
-
E.
isInMunicipality
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:19 a.m.