Triple
T16822338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Toulon |
E408923
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Toulon, France |
E83956
|
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: Toulon, France | Statement: [RC Toulon, basedIn, Toulon, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toulon, France Context triple: [RC Toulon, basedIn, Toulon, France]
-
A.
Toulon
chosen
Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
-
B.
Sochaux, France
Sochaux, France is an industrial town in eastern France best known as the historic home of the Peugeot automobile manufacturing complex.
-
C.
Montpellier, France
Montpellier, France is a historic and vibrant city in southern France near the Mediterranean coast, known for its medieval architecture, large student population, and role as a regional cultural and economic center.
-
D.
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.
-
E.
Fontenay-aux-Roses, France
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, known for its residential character and proximity to major academic and research institutions.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e77ab88190be1ec8179251864e |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a08ac8819098e7094ee5ce4ed5 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:23 a.m.