Triple
T16884799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Luçon |
E421511
|
entity |
| Predicate | hasEpiscopalSee |
P2276
|
FINISHED |
| Object | Luçon |
E424508
|
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: Luçon | Statement: [Diocese of Luçon, hasEpiscopalSee, Luçon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luçon Context triple: [Diocese of Luçon, hasEpiscopalSee, Luçon]
-
A.
Luçon
chosen
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
-
B.
Le Moule
Le Moule is a coastal commune and former sugar port on the island of Grande-Terre in Guadeloupe, known for its surfing beaches and colonial-era heritage.
-
C.
Dives-sur-Mer
Dives-sur-Mer is a coastal commune in northwestern France, known for its historic harbor linked to William the Conqueror’s 1066 expedition to England.
-
D.
Niort
Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
-
E.
Le Croisic
Le Croisic is a coastal town and popular seaside resort on the Atlantic coast of western France, known for its historic harbor and scenic peninsula.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc00cf8819088a08ddb00cd3c96 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbfd6898819083871544c119557c |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:29 a.m.