Triple
T13389938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coutances |
E319547
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Coutançais
Coutançais is the French demonym for inhabitants of the town of Coutances in Normandy.
|
E1038535
|
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: Coutançais | Statement: [Coutances, hasDemonym, Coutançais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coutançais Context triple: [Coutances, hasDemonym, Coutançais]
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
Vivarois
Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
-
C.
Thiérache
Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
-
D.
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
-
E.
Nançon River
The Nançon River is a small watercourse in northwestern France that flows through the historic town of Fougères in the Ille-et-Vilaine department of Brittany.
- 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: Coutançais Triple: [Coutances, hasDemonym, Coutançais]
Generated description
Coutançais is the French demonym for inhabitants of the town of Coutances in Normandy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coutançais Target entity description: Coutançais is the French demonym for inhabitants of the town of Coutances in Normandy.
-
A.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
B.
Vivarois
Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
-
C.
Thiérache
Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
-
D.
Cheneux
Cheneux is a small village in the municipality of Stoumont in the province of Liège, Belgium, known for its rural setting and World War II history.
-
E.
Nançon River
The Nançon River is a small watercourse in northwestern France that flows through the historic town of Fougères in the Ille-et-Vilaine department of Brittany.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306df34c81909f2ad5b753b7fb7f |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7320c075081909b377de7e6e2abd0 |
completed | May 3, 2026, 11:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73285fd288190a023f20925fb5d5e |
completed | May 3, 2026, 11:33 a.m. |
Created at: April 9, 2026, 9:34 p.m.