Triple
T13721214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Échirolles |
E329040
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Échirollois
Échirollois is the French demonym for inhabitants of the town of Échirolles in southeastern France.
|
E1065154
|
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: Échirollois | Statement: [Échirolles, hasDemonym, Échirollois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Échirollois Context triple: [Échirolles, hasDemonym, Échirollois]
-
A.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
B.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
C.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
D.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
E.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
- 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: Échirollois Triple: [Échirolles, hasDemonym, Échirollois]
Generated description
Échirollois is the French demonym for inhabitants of the town of Échirolles in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Échirollois Target entity description: Échirollois is the French demonym for inhabitants of the town of Échirolles in southeastern France.
-
A.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
B.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
C.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
-
D.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
E.
Vallauris
Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f3b46481909ceedfa78e9ca92b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0dd20348190adfb1712de06088c |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c18a032481909fc1e97883062170 |
completed | May 3, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c21231f48190ae6e2bdb2bbc0afd |
completed | May 3, 2026, 9:45 p.m. |
Created at: April 9, 2026, 9:55 p.m.