Triple
T22836361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta Badia |
E565957
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Colfosco |
—
|
NE NERFINISHED |
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: Colfosco | Statement: [Alta Badia, contains, Colfosco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colfosco Context triple: [Alta Badia, contains, Colfosco]
-
A.
Colfosco
chosen
Colfosco is a picturesque alpine village in the Dolomites of northern Italy, known for its mountain scenery and access to extensive skiing and hiking areas.
-
B.
Proclia
Proclia is a minor figure in Greek mythology known primarily as a sibling of Lampus.
-
C.
Pliva
Pliva is a river in western Bosnia and Herzegovina known for its scenic waterfalls and lakes near the town of Jajce.
-
D.
Pliva
Pliva is a Croatian pharmaceutical company known for developing the antibiotic azithromycin and being one of the largest drug manufacturers in Central and Eastern Europe.
-
E.
Ipsen
Ipsen is a global biopharmaceutical company headquartered in France, focused on specialty care areas such as oncology, neuroscience, and rare diseases.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2f09608190bc8e465e53b39e2e |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.