Triple
T13000986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avranches |
E322167
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
Avranchinais
Avranchinais is the French term for an inhabitant or native of the town of Avranches in Normandy.
|
E1016590
|
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: Avranchinais | Statement: [Avranches, demonym, Avranchinais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avranchinais Context triple: [Avranches, demonym, Avranchinais]
-
A.
Cauchois
Cauchois is a regional variety of the Norman language traditionally spoken in the Pays de Caux area of Normandy, France.
-
B.
Kouroucien
Kouroucien is the French demonym for an inhabitant or native of the town of Kourou in French Guiana.
-
C.
Sorguaises
Sorguaises are the female inhabitants or natives of Sorgues, a commune in southeastern France.
-
D.
Angoumoisin
Angoumoisin is the French term for an inhabitant or native of the city of Angoulême in southwestern France.
-
E.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
- 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: Avranchinais Triple: [Avranches, demonym, Avranchinais]
Generated description
Avranchinais is the French term for an inhabitant or native of the town of Avranches in Normandy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avranchinais Target entity description: Avranchinais is the French term for an inhabitant or native of the town of Avranches in Normandy.
-
A.
Cauchois
Cauchois is a regional variety of the Norman language traditionally spoken in the Pays de Caux area of Normandy, France.
-
B.
Kouroucien
Kouroucien is the French demonym for an inhabitant or native of the town of Kourou in French Guiana.
-
C.
Sorguaises
Sorguaises are the female inhabitants or natives of Sorgues, a commune in southeastern France.
-
D.
Angoumoisin
Angoumoisin is the French term for an inhabitant or native of the city of Angoulême in southwestern France.
-
E.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9828748190b2ad9ea29180b7d3 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c103e49c8190a140527f24b5c799 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c562d10c8190b76dbf50a0101bae |
completed | May 3, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c635fc888190891a79da9d7984a0 |
completed | May 3, 2026, 3:51 a.m. |
Created at: April 9, 2026, 8:47 p.m.