Triple
T14905851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belfort |
E360127
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Belfortt
Belfortt is an alternative spelling or variant form of the name "Belfort," which commonly refers to the French city known for its historic fortifications.
|
E1127591
|
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: Belfortt | Statement: [Belfort, hasVariant, Belfortt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belfortt Context triple: [Belfort, hasVariant, Belfortt]
-
A.
Baugnez
Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
-
B.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
-
C.
Reville
Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
-
D.
Debourg
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
-
E.
Béraud
Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
- 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: Belfortt Triple: [Belfort, hasVariant, Belfortt]
Generated description
Belfortt is an alternative spelling or variant form of the name "Belfort," which commonly refers to the French city known for its historic fortifications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belfortt Target entity description: Belfortt is an alternative spelling or variant form of the name "Belfort," which commonly refers to the French city known for its historic fortifications.
-
A.
Baugnez
Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
-
B.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
-
C.
Reville
Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
-
D.
Debourg
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
-
E.
Béraud
Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe771e361481908b58eb38f804f650 |
completed | May 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe77fef3d88190afbd7839c4625226 |
completed | May 8, 2026, 11:55 p.m. |
Created at: April 10, 2026, 2:12 a.m.