Triple
T21353810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitche canton |
E526557
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Petit-Réderching
Petit-Réderching is a small commune in northeastern France’s Moselle department, known for its rural character within the historical region of Lorraine.
|
E1480472
|
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: Petit-Réderching | Statement: [Bitche canton, contains, Petit-Réderching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petit-Réderching Context triple: [Bitche canton, contains, Petit-Réderching]
-
A.
Rosières
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
-
B.
Rosières
Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
C.
Lézinnes
Lézinnes is a small commune in the Yonne department of Bourgogne-Franche-Comté in north-central France.
-
D.
Bourdigny
Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
-
E.
Cherain
Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
- 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: Petit-Réderching Triple: [Bitche canton, contains, Petit-Réderching]
Generated description
Petit-Réderching is a small commune in northeastern France’s Moselle department, known for its rural character within the historical region of Lorraine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Petit-Réderching Target entity description: Petit-Réderching is a small commune in northeastern France’s Moselle department, known for its rural character within the historical region of Lorraine.
-
A.
Rosières
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
-
B.
Rosières
Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
C.
Lézinnes
Lézinnes is a small commune in the Yonne department of Bourgogne-Franche-Comté in north-central France.
-
D.
Bourdigny
Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
-
E.
Cherain
Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bac9e1481909121e89f046c77f6 |
completed | April 26, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad61410081909dbed86cc6b70bca |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae7ab31081908d57ff9ffe7c223b |
completed | May 17, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09af42dc78819096e4e08f8ec44f71 |
completed | May 17, 2026, 12:06 p.m. |
Created at: April 16, 2026, 5:05 p.m.