Triple
T22195651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronchamp |
E548539
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Vesoul |
—
|
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: Vesoul | Statement: [Ronchamp, hasNearbyCity, Vesoul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesoul Context triple: [Ronchamp, hasNearbyCity, Vesoul]
-
A.
Vesoul
chosen
Vesoul is a commune in eastern France that serves as the administrative center (prefecture) of the Haute-Saône department.
-
B.
Crevel
Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
-
C.
Morval
Morval is a small rural parish and village in Cornwall, England, known for its historic manor house and scenic countryside near Looe.
-
D.
Thielle
Thielle is a river in western Switzerland that flows from Lake Biel toward Lake Neuchâtel and forms part of the region’s interconnected lake and waterway system.
-
E.
Yzeron
Yzeron is a small river in eastern France that flows through the Lyon metropolitan area, including the commune of Oullins.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae6f7a881908cf1772326f91467 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.