Triple
T16201127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Baule-Escoublac |
E393200
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Pornichet |
E982974
|
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: Pornichet | Statement: [La Baule-Escoublac, locatedNear, Pornichet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pornichet Context triple: [La Baule-Escoublac, locatedNear, Pornichet]
-
A.
Pornichet
chosen
Pornichet is a seaside resort town on the Atlantic coast of western France, known for its beaches, marina, and tourism.
-
B.
Dourif
Dourif is the surname of American actor Brad Dourif, known for his intense character roles in film and television, including the voice of Chucky in the "Child's Play" horror franchise.
-
C.
Benito
Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
-
D.
Niceto
Niceto is the given name of Niceto Alcalá-Zamora, the first President of the Second Spanish Republic.
-
E.
Gastón
Gastón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270aa7f08190ab37aa9ff46816fc |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff130bcc8190a965d90e123d2dd9 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:03 a.m.