Triple
T3081314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Arnault |
E64261
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Roubaix, France |
E223522
|
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: Roubaix, France | Statement: [Bernard Arnault, placeOfBirth, Roubaix, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roubaix, France Context triple: [Bernard Arnault, placeOfBirth, Roubaix, France]
-
A.
Roubaix
chosen
Roubaix is a city in northern France known for its textile industry heritage and as the finish of the Paris–Roubaix professional cycling race.
-
B.
Douai, France
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.
-
C.
Coquelles, Pas-de-Calais, France
Coquelles, in the Pas-de-Calais department of northern France, is a commune best known as the French terminal of the Channel Tunnel linking France and the United Kingdom.
-
D.
Villeblevin, France
Villeblevin, France is a small commune in north-central France best known as the place where Nobel Prize–winning writer Albert Camus died in a car accident.
-
E.
Étaples, France
Étaples, France is a coastal town in northern France’s Pas-de-Calais department, historically known as a fishing port and for its role in World War I as the site of a major British military base and cemetery.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1aaf6d48190af4f9106965589b0 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89443a4819091dafc560b45cc26 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:03 p.m.