Triple
T21353799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitche canton |
E526557
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mouterhouse
Mouterhouse is a small rural commune in northeastern France, situated in the Moselle department within the Grand Est region.
|
E1480470
|
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: Mouterhouse | Statement: [Bitche canton, contains, Mouterhouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouterhouse Context triple: [Bitche canton, contains, Mouterhouse]
-
A.
Sillingy
Sillingy is a small commune in southeastern France, located in the Haute-Savoie department within the Auvergne-Rhône-Alpes region.
-
B.
Tremelay
Tremelay is a locality in France historically linked to Bernard de Tremelay, a 12th-century Grand Master of the Knights Templar.
-
C.
Stoumont
Stoumont is a rural municipality in the province of Liège in eastern Belgium, known for its Ardennes landscapes and World War II Battle of the Bulge history.
-
D.
Montbrison
Montbrison is a historic town in central France known as a former capital of the Forez region and for its medieval heritage and regional gastronomy.
-
E.
Rougemont
Rougemont is a picturesque Swiss alpine village in the canton of Vaud, known for its traditional chalets, mountain scenery, and proximity to the upscale resort area of Gstaad.
- 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: Mouterhouse Triple: [Bitche canton, contains, Mouterhouse]
Generated description
Mouterhouse is a small rural commune in northeastern France, situated in the Moselle department within the Grand Est region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mouterhouse Target entity description: Mouterhouse is a small rural commune in northeastern France, situated in the Moselle department within the Grand Est region.
-
A.
Sillingy
Sillingy is a small commune in southeastern France, located in the Haute-Savoie department within the Auvergne-Rhône-Alpes region.
-
B.
Tremelay
Tremelay is a locality in France historically linked to Bernard de Tremelay, a 12th-century Grand Master of the Knights Templar.
-
C.
Stoumont
Stoumont is a rural municipality in the province of Liège in eastern Belgium, known for its Ardennes landscapes and World War II Battle of the Bulge history.
-
D.
Montbrison
Montbrison is a historic town in central France known as a former capital of the Forez region and for its medieval heritage and regional gastronomy.
-
E.
Rougemont
Rougemont is a picturesque Swiss alpine village in the canton of Vaud, known for its traditional chalets, mountain scenery, and proximity to the upscale resort area of Gstaad.
- 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.