Triple
T14438054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Futuroscope |
E358017
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Jaunay-Marigny
Jaunay-Marigny is a commune in western France’s Vienne department, notable for hosting the popular Futuroscope theme park.
|
E1155992
|
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: Jaunay-Marigny | Statement: [Futuroscope, locatedIn, Jaunay-Marigny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaunay-Marigny Context triple: [Futuroscope, locatedIn, Jaunay-Marigny]
-
A.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
B.
Cuiseaux
Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
-
C.
Bonnes-Mares
Bonnes-Mares is a prestigious Grand Cru vineyard in Burgundy’s Côte de Nuits, renowned for producing powerful, long-lived red wines primarily from Pinot Noir.
-
D.
Pontarlier
Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
-
E.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
- 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: Jaunay-Marigny Triple: [Futuroscope, locatedIn, Jaunay-Marigny]
Generated description
Jaunay-Marigny is a commune in western France’s Vienne department, notable for hosting the popular Futuroscope theme park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaunay-Marigny Target entity description: Jaunay-Marigny is a commune in western France’s Vienne department, notable for hosting the popular Futuroscope theme park.
-
A.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
B.
Cuiseaux
Cuiseaux is a small commune in eastern France, notable as the birthplace of the painter Édouard Vuillard.
-
C.
Bonnes-Mares
Bonnes-Mares is a prestigious Grand Cru vineyard in Burgundy’s Côte de Nuits, renowned for producing powerful, long-lived red wines primarily from Pinot Noir.
-
D.
Pontarlier
Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
-
E.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a5c72008190a3c4df20480850c9 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1b7559448190b58c6119916774c8 |
completed | May 9, 2026, 11:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 1:18 a.m.