Triple
T19247920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambrai railway station |
E481311
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Douai |
—
|
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: Douai | Statement: [Cambrai railway station, connectsTo, Douai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douai Context triple: [Cambrai railway station, connectsTo, Douai]
-
A.
Douai
Douai is a historic town in northern France known for its medieval belfry, former importance as a university and legal center, and role in the shifting Franco-Flemish borderlands.
-
B.
Ouchy
Ouchy is a picturesque lakeside district of Lausanne on the shores of Lake Geneva, known for its promenades, parks, and views of the Alps.
-
C.
Douai, France
chosen
Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
-
D.
Chatou
Chatou is a suburban commune in north-central France, located along the Seine River to the west of Paris and known for its Impressionist art heritage.
-
E.
Souain
Souain is a commune in the Marne department of northeastern France, known for its World War I battlefields and memorials.
- 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_69e5fb2e7cf881908dafd45d7a305c52 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:27 p.m.