Triple
T10375713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura-Nord vaudois |
E244500
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Concise |
E244504
|
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: Concise | Statement: [Jura-Nord vaudois, contains, Concise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concise Context triple: [Jura-Nord vaudois, contains, Concise]
-
A.
Concise
chosen
Concise is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Neuchâtel.
-
B.
Shorter
Shorter is a surname of English origin borne by various notable individuals across different fields.
-
C.
Short
Short is an English-language surname of Anglo-Saxon origin, historically given as a descriptive nickname for a person of small stature.
-
D.
Quick Note
Quick Note is a macOS and iPadOS feature that lets users instantly create and access notes from anywhere in the system for fast, context-aware note-taking.
-
E.
Abridge
Abridge is a small village in the Epping Forest district of Essex, England, known for its rural character and proximity to London.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98106d081909d28e30d2fff6902 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795754570819093747f80e32fffce |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:02 p.m.