Triple
T21244660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambly |
E523572
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Chamblyenne
Chamblyenne is the French demonym referring to a female inhabitant or native of the town of Chambly.
|
E523572
|
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: Chamblyenne | Statement: [Chambly, hasDemonym, Chamblyenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chamblyenne Context triple: [Chambly, hasDemonym, Chamblyenne]
-
A.
Chambly
Chambly is a city in southwestern Quebec, Canada, known for its historic Fort Chambly and location along the Richelieu River.
-
B.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
C.
Chaulieu
Chaulieu is a small commune in the Manche department of northwestern France, known for its rural landscape and location within the Normandy region.
-
D.
Beaumettes
Beaumettes is a small commune in southeastern France, located in the Vaucluse department within the Provence-Alpes-Côte d'Azur region.
-
E.
Chaumont-Gistoux
Chaumont-Gistoux is a rural municipality in the province of Walloon Brabant in central Belgium, known for its wooded landscapes and residential character.
- 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: Chamblyenne Triple: [Chambly, hasDemonym, Chamblyenne]
Generated description
Chamblyenne is the French demonym referring to a female inhabitant or native of the town of Chambly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chamblyenne Target entity description: Chamblyenne is the French demonym referring to a female inhabitant or native of the town of Chambly.
-
A.
Chambly
chosen
Chambly is a city in southwestern Quebec, Canada, known for its historic Fort Chambly and location along the Richelieu River.
-
B.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
C.
Chaulieu
Chaulieu is a small commune in the Manche department of northwestern France, known for its rural landscape and location within the Normandy region.
-
D.
Beaumettes
Beaumettes is a small commune in southeastern France, located in the Vaucluse department within the Provence-Alpes-Côte d'Azur region.
-
E.
Chaumont-Gistoux
Chaumont-Gistoux is a rural municipality in the province of Walloon Brabant in central Belgium, known for its wooded landscapes and residential character.
- F. None of above.
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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352621488190bd74c57798c7d658 |
completed | April 21, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73cd90048190972ae88b6828f84a |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7ad64f38819086f403627f196573 |
completed | May 18, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7b1cc47081909f58b3462077c323 |
completed | May 18, 2026, 8:48 p.m. |
Created at: April 16, 2026, 3:47 p.m.