Triple
T10953478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Bar-sur-Aube |
E258781
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Dolancourt
Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
|
E896620
|
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: Dolancourt | Statement: [arrondissement of Bar-sur-Aube, contains, Dolancourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolancourt Context triple: [arrondissement of Bar-sur-Aube, contains, Dolancourt]
-
A.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
B.
Morlaincourt
Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
-
C.
Flixecourt
Flixecourt is a small commune in northern France known historically for its textile industry and proximity to the Somme River.
-
D.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
E.
Beaumains
Beaumains is the nickname given to Sir Gareth, a knight of the Round Table in Arthurian legend known for his humble beginnings and later heroic deeds.
- 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: Dolancourt Triple: [arrondissement of Bar-sur-Aube, contains, Dolancourt]
Generated description
Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dolancourt Target entity description: Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
-
A.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
B.
Morlaincourt
Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
-
C.
Flixecourt
Flixecourt is a small commune in northern France known historically for its textile industry and proximity to the Somme River.
-
D.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
E.
Beaumains
Beaumains is the nickname given to Sir Gareth, a knight of the Round Table in Arthurian legend known for his humble beginnings and later heroic deeds.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7439204819092fcd061a161fd7b |
completed | April 18, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 8, 2026, 9:23 p.m.