Triple
T6775450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finistère |
E155142
|
entity |
| Predicate | hasCulturalRegion |
P1968
|
FINISHED |
| Object |
Léon
Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
|
E617167
|
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: Léon | Statement: [Finistère, hasCulturalRegion, Léon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léon Context triple: [Finistère, hasCulturalRegion, Léon]
-
A.
Léon
Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
-
B.
Léon: The Professional
Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
-
C.
Le Fel
Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
-
D.
Joe le taxi
"Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
-
E.
Renard
Renard is the primary villain in the James Bond film "The World Is Not Enough," a terrorist whose inability to feel pain makes him a particularly relentless and dangerous adversary.
- 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: Léon Triple: [Finistère, hasCulturalRegion, Léon]
Generated description
Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Léon Target entity description: Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
-
A.
Léon
Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
-
B.
Léon: The Professional
Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
-
C.
Le Fel
Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
-
D.
Joe le taxi
"Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
-
E.
Renard
Renard is the primary villain in the James Bond film "The World Is Not Enough," a terrorist whose inability to feel pain makes him a particularly relentless and dangerous adversary.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24f77c88190be21cf4ef132aa31 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ca48d88190b9f47b23264d4264 |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c713d2fad881909ac1b96ba4353bfe |
completed | March 27, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71478072481909e396a2ac39f0f3a |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:13 p.m.