Triple
T1977103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nord (department) |
E42939
|
entity |
| Predicate | hasSubprefecture |
P9697
|
FINISHED |
| Object | Douai |
E86459
|
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: Douai | Statement: [Nord (department), hasSubprefecture, Douai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douai Context triple: [Nord (department), hasSubprefecture, Douai]
-
A.
Douai
chosen
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.
Villeneuve d’Ascq
Villeneuve d’Ascq is a suburban city in northern France near Lille, known for its universities, technology parks, and modernist urban planning.
-
D.
Neu-Anif
Neu-Anif is a locality within the municipality of Anif in the Austrian state of Salzburg, known as a residential and suburban area near the city of Salzburg.
-
E.
Valenciennes
Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f9a87c8190816db3888787ad76 |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ad2a3888190a93e54b53a071afc |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:36 p.m.