Triple
T23142267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Pont-l’Évêque |
E577493
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Manerbe
Manerbe is a small commune in the Calvados department of the Normandy region in northwestern France.
|
E1574145
|
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: Manerbe | Statement: [canton of Pont-l’Évêque, contains, Manerbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manerbe Context triple: [canton of Pont-l’Évêque, contains, Manerbe]
-
A.
Wannebecq
Wannebecq is a village in the municipality of Lessines in the Hainaut province of Wallonia, Belgium.
-
B.
Michelbeke
Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
-
C.
Estinnes
Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
-
D.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
E.
Bornem
Bornem is a municipality in the Belgian province of Antwerp, known for its historic abbey and location along the River Scheldt.
- 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: Manerbe Triple: [canton of Pont-l’Évêque, contains, Manerbe]
Generated description
Manerbe is a small commune in the Calvados department of the Normandy region in northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manerbe Target entity description: Manerbe is a small commune in the Calvados department of the Normandy region in northwestern France.
-
A.
Wannebecq
Wannebecq is a village in the municipality of Lessines in the Hainaut province of Wallonia, Belgium.
-
B.
Michelbeke
Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
-
C.
Estinnes
Estinnes is a municipality in the Walloon region of Belgium, known for its rural character and historic villages.
-
D.
Horebeke
Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
-
E.
Bornem
Bornem is a municipality in the Belgian province of Antwerp, known for its historic abbey and location along the River Scheldt.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecb72fc8190a24e8f5756217a36 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c308fd60c8190afd340bd74423220 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c32dc646081909d3c36d089d61c00 |
completed | May 19, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c35636e908190ae11d96deb15e1f5 |
completed | May 19, 2026, 10:03 a.m. |
Created at: April 17, 2026, 4 p.m.