Triple
T15779421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landquart |
E382572
|
entity |
| Predicate | flowsThroughMunicipality |
P42402
|
FINISHED |
| Object | Fideris |
E701543
|
NE 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: Fideris | Statement: [Landquart, flowsThroughMunicipality, Fideris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fideris Context triple: [Landquart, flowsThroughMunicipality, Fideris]
-
A.
Fideris
chosen
Fideris is a small Swiss municipality in the canton of Graubünden, known for its alpine setting in the Prättigau valley.
-
B.
Fideuram
Fideuram is a prominent Italian private banking and wealth management institution operating within the Intesa Sanpaolo banking group.
-
C.
Fadinard
Fadinard is the hapless bridegroom protagonist of the French farce "Il cappello di paglia di Firenze," whose frantic efforts to replace a ruined hat drive the play’s comic chaos.
-
D.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
-
E.
Fensalir
Fensalir is the misty, marsh-surrounded hall in Norse mythology that serves as the home of the goddess Frigg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142df48e8819083a48d3b7b3f7f5d |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909f7f4481909cceb32e26af3780 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.