Triple
T12083021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armançon |
E287728
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Ravières
Ravières is a small commune in the Yonne department of north-central France, situated in the Burgundy region.
|
E968120
|
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: Ravières | Statement: [Armançon, flowsThrough, Ravières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ravières Context triple: [Armançon, flowsThrough, Ravières]
-
A.
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.
-
B.
Eaux-Vives
Eaux-Vives is a lakeside district of Geneva, Switzerland, known for its residential neighborhoods, parks, and proximity to Lake Geneva.
-
C.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
D.
Frépillon
Frépillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
E.
Grandes-Carrières
Grandes-Carrières is a residential neighborhood in the 18th arrondissement of Paris, known for its proximity to Montmartre and its mix of historic and modern urban 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: Ravières Triple: [Armançon, flowsThrough, Ravières]
Generated description
Ravières is a small commune in the Yonne department of north-central France, situated in the Burgundy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ravières Target entity description: Ravières is a small commune in the Yonne department of north-central France, situated in the Burgundy region.
-
A.
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.
-
B.
Eaux-Vives
Eaux-Vives is a lakeside district of Geneva, Switzerland, known for its residential neighborhoods, parks, and proximity to Lake Geneva.
-
C.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
D.
Frépillon
Frépillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
E.
Grandes-Carrières
Grandes-Carrières is a residential neighborhood in the 18th arrondissement of Paris, known for its proximity to Montmartre and its mix of historic and modern urban character.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915124e4c8190b0264c2a09e3c2f3 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66509208190b7206e78df41c2fe |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f6022ecf38819080f0eb6a3a815c5b |
completed | May 2, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f606560934819092ba4d4fa162b799 |
completed | May 2, 2026, 2:12 p.m. |
Created at: April 8, 2026, 9:48 p.m.