Triple
T20363614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunis |
E496848
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Chatelaillon-Plage
Chatelaillon-Plage is a seaside resort town on France’s Atlantic coast, known for its sandy beaches and Belle Époque–era charm.
|
E1426288
|
NE FINISHED |
How this triple was built (4 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: Chatelaillon-Plage | Statement: [Aunis, hasCity, Chatelaillon-Plage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chatelaillon-Plage Context triple: [Aunis, hasCity, Chatelaillon-Plage]
-
A.
Carnon-Plage
Carnon-Plage is a seaside resort and beach town on the Mediterranean coast of southern France, known for its marina, sandy beaches, and tourism.
-
B.
Plage des Canoubiers
Plage des Canoubiers is a popular sandy beach near Saint-Tropez on the French Riviera, known for its calm waters and relaxed, family-friendly atmosphere.
-
C.
Brignogan-Plages
Brignogan-Plages is a coastal commune in northwestern France known for its sandy beaches and rugged Breton shoreline.
-
D.
Cap-d’Ail
Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
-
E.
Valras-Plage
Valras-Plage is a seaside resort town on France’s Mediterranean coast, known for its sandy beaches and tourism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chatelaillon-Plage Triple: [Aunis, hasCity, Chatelaillon-Plage]
Generated description
Chatelaillon-Plage is a seaside resort town on France’s Atlantic coast, known for its sandy beaches and Belle Époque–era charm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chatelaillon-Plage Target entity description: Chatelaillon-Plage is a seaside resort town on France’s Atlantic coast, known for its sandy beaches and Belle Époque–era charm.
-
A.
Carnon-Plage
Carnon-Plage is a seaside resort and beach town on the Mediterranean coast of southern France, known for its marina, sandy beaches, and tourism.
-
B.
Plage des Canoubiers
Plage des Canoubiers is a popular sandy beach near Saint-Tropez on the French Riviera, known for its calm waters and relaxed, family-friendly atmosphere.
-
C.
Brignogan-Plages
Brignogan-Plages is a coastal commune in northwestern France known for its sandy beaches and rugged Breton shoreline.
-
D.
Cap-d’Ail
Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
-
E.
Valras-Plage
Valras-Plage is a seaside resort town on France’s Mediterranean coast, known for its sandy beaches and tourism.
- F. None of above. chosen
Provenance (5 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786fd0088190908187ab642344cc |
completed | April 20, 2026, 7:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087087c86c8190b9964ba4b82abdec |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a087129ce3c8190a67ac34ec697ad31 |
completed | May 16, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871e3573c81908216b5e508374081 |
completed | May 16, 2026, 1:32 p.m. |
Created at: April 16, 2026, 11:26 a.m.