Triple
T12083023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armançon |
E287728
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Lézinnes
Lézinnes is a small commune in the Yonne department of Bourgogne-Franche-Comté in north-central France.
|
E982710
|
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: Lézinnes | Statement: [Armançon, flowsThrough, Lézinnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lézinnes Context triple: [Armançon, flowsThrough, Lézinnes]
-
A.
Esneux
Esneux is a municipality in the province of Liège in Wallonia, Belgium, known for its scenic setting in the Ourthe River valley.
-
B.
Armançon
Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
-
C.
Rosières
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
-
D.
Rosières
Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
E.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
- 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: Lézinnes Triple: [Armançon, flowsThrough, Lézinnes]
Generated description
Lézinnes is a small commune in the Yonne department of Bourgogne-Franche-Comté in north-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lézinnes Target entity description: Lézinnes is a small commune in the Yonne department of Bourgogne-Franche-Comté in north-central France.
-
A.
Esneux
Esneux is a municipality in the province of Liège in Wallonia, Belgium, known for its scenic setting in the Ourthe River valley.
-
B.
Armançon
Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
-
C.
Rosières
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
-
D.
Rosières
Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
E.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
- 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_69f63454d1b88190a01db0e2a7363d05 |
completed | May 2, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:48 p.m.