Triple
T5331590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont-Saint-Michel |
E123322
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Avranches |
E322167
|
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: Avranches | Statement: [Mont-Saint-Michel, locatedNear, Avranches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avranches Context triple: [Mont-Saint-Michel, locatedNear, Avranches]
-
A.
Avranches
chosen
Avranches is a historic town in northwestern France, near Mont-Saint-Michel, known for its medieval heritage and role in the liberation of Normandy during World War II.
-
B.
Bessin
Bessin is a historic coastal region in Normandy, northwestern France, known for its medieval heritage and its role in the D-Day landings of World War II.
-
C.
Brouage
Brouage is a historic fortified coastal village in southwestern France, known as the birthplace of explorer Samuel de Champlain and once an important salt-trading port.
-
D.
Yvetot
Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
-
E.
Rouvres
Rouvres is a small French commune located in the Île-de-France region in north-central France.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85aab0308190990626cbc9da3e21 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf290fc4448190ad9e9c5e880904a8 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2 p.m.