Triple
T9214610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanteloup-en-Brie |
E221210
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Chanteloupiennes
Chanteloupiennes are the female inhabitants of the French commune of Chanteloup-en-Brie in the Île-de-France region.
|
E785536
|
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: Chanteloupiennes | Statement: [Chanteloup-en-Brie, hasDemonym, Chanteloupiennes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chanteloupiennes Context triple: [Chanteloup-en-Brie, hasDemonym, Chanteloupiennes]
-
A.
Athois
Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
-
B.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
-
C.
Gourmanchéma
Gourmanchéma is a Gur language spoken primarily in parts of Burkina Faso and neighboring West African countries.
-
D.
Méjanelle
Méjanelle is a French wine-producing area recognized as a subregion within the broader Languedoc appellation in southern France.
-
E.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
- 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: Chanteloupiennes Triple: [Chanteloup-en-Brie, hasDemonym, Chanteloupiennes]
Generated description
Chanteloupiennes are the female inhabitants of the French commune of Chanteloup-en-Brie in the Île-de-France region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chanteloupiennes Target entity description: Chanteloupiennes are the female inhabitants of the French commune of Chanteloup-en-Brie in the Île-de-France region.
-
A.
Athois
Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
-
B.
Cérons
Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
-
C.
Gourmanchéma
Gourmanchéma is a Gur language spoken primarily in parts of Burkina Faso and neighboring West African countries.
-
D.
Méjanelle
Méjanelle is a French wine-producing area recognized as a subregion within the broader Languedoc appellation in southern France.
-
E.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda06bf80819094c6e74b4b6a31e4 |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d06613daf88190a0128fd53ea1b134 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0678b89ac8190b807e1c3b457a503 |
completed | April 4, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0688d4c388190bb024b03cc86d08f |
completed | April 4, 2026, 1:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.