Triple
T19251733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andematunnum |
E481407
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Vesontio |
—
|
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: Vesontio | Statement: [Andematunnum, connectedTo, Vesontio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesontio Context triple: [Andematunnum, connectedTo, Vesontio]
-
A.
Vesontio
chosen
Vesontio was the ancient Roman city that later became Besançon, an important urban and military center in the province of Germania Superior.
-
B.
Vanajavesi
Vanajavesi is a prominent lake in southern Finland known for its scenic waterways, cultural heritage, and role in the Kokemäenjoki river basin.
-
C.
Vehmaa
Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
-
D.
Viiala
Viiala was a former municipality in southern Finland that later became part of the town of Akaa.
-
E.
Viimsi
Viimsi is a rapidly developing suburban municipality in northern Estonia, located just northeast of the capital city Tallinn.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb30bf6c819094c44aceb544a023 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.