Triple
T1783992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broglie, Eure, France |
E39348
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
|
E207655
|
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: Broglien | Statement: [Broglie, Eure, France, hasDemonym, Broglien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broglien Context triple: [Broglie, Eure, France, hasDemonym, Broglien]
-
A.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
B.
Barellan
Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
-
C.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
D.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
E.
Ehle
Ehle is the surname of Jennifer Ehle, an acclaimed Anglo-American actress known for her work in film, television, and theatre.
- 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: Broglien Triple: [Broglie, Eure, France, hasDemonym, Broglien]
Generated description
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Broglien Target entity description: A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
-
A.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
B.
Barellan
Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
-
C.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
D.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
E.
Ehle
Ehle is the surname of Jennifer Ehle, an acclaimed Anglo-American actress known for her work in film, television, and theatre.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e5f5588190ac285d0923c5a2e9 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1b8e26c8190af6e45265e2b182f |
completed | March 8, 2026, 7:44 p.m. |
| NEDg | Description generation | batch_69add29b34048190bee7908ac6c650e4 |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add35731588190a13c969490ca2c09 |
completed | March 8, 2026, 7:51 p.m. |
Created at: March 4, 2026, 7:31 p.m.