Triple
T4231431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Merleau-Ponty |
E94589
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Rochefort-sur-Mer |
E365038
|
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: Rochefort-sur-Mer | Statement: [Maurice Merleau-Ponty, birthPlace, Rochefort-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochefort-sur-Mer Context triple: [Maurice Merleau-Ponty, birthPlace, Rochefort-sur-Mer]
-
A.
Rochefort
chosen
Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
-
B.
Saint-Laurent-sur-Mer
Saint-Laurent-sur-Mer is a coastal commune in Normandy, France, historically significant for its location at the heart of the D-Day landings during 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.
Cabourg
Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
-
E.
Guérande
Guérande is a historic fortified town in western France renowned for its medieval walls and traditional sea-salt marshes.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e642aac8190977dd101e27afcbb |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c70cfa6c819096992a9ea7e97801 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 12, 2026, 11:05 p.m.