Triple
T4124198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvados department |
E92684
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vire |
E416374
|
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: Vire | Statement: [Calvados department, contains, Vire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vire Context triple: [Calvados department, contains, Vire]
-
A.
Vire
chosen
Vire is a historic town in northwestern France known for its medieval heritage and role as an administrative center in the Calvados department of Normandy.
-
B.
Vich
Vich is a small municipality in the canton of Vaud in western Switzerland, located in the district of Nyon near Lake Geneva.
-
C.
Werre
The Werre is a river in North Rhine-Westphalia, Germany, that flows through towns such as Detmold and Herford before joining the Weser.
-
D.
Siret
Siret is a major river in Eastern Europe that flows through Ukraine and Romania before joining the Danube.
-
E.
Buëch River
The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0208903c8190a7f451a455d3e253 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f256abc819086cd464be1a9efbf |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:41 p.m.