Triple
T9779467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardennes department |
E237328
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vouziers |
E830424
|
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: Vouziers | Statement: [Ardennes department, contains, Vouziers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vouziers Context triple: [Ardennes department, contains, Vouziers]
-
A.
Vouziers
chosen
Vouziers is a small commune in northeastern France known for its historical role in World War I and its location in the rural Ardennes region.
-
B.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
C.
Tournan
Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
-
D.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
E.
Guillestre
Guillestre is a small commune in southeastern France’s Hautes-Alpes department, known as a gateway to the Queyras Regional Natural Park and the surrounding Alpine valleys.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13663f081909b95563038eb6485 |
completed | April 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23ceca020819080f310f84669551a |
completed | April 5, 2026, 10:43 a.m. |
Created at: March 30, 2026, 8:27 p.m.