Triple
T15001329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays de Bitche |
E374095
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hanviller
Hanviller is a small commune in northeastern France, situated within the rural and forested Pays de Bitche area of the Moselle department in the Grand Est region.
|
E1132104
|
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: Hanviller | Statement: [Pays de Bitche, contains, Hanviller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanviller Context triple: [Pays de Bitche, contains, Hanviller]
-
A.
Villeblevin
Villeblevin is a small commune in north-central France, best known as the place where writer Albert Camus died in a car accident.
-
B.
Beaufays
Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
-
C.
Dourbie
The Dourbie is a river in southern France known for carving the scenic Gorges de la Dourbie through the limestone plateaus of the Massif Central.
-
D.
Noville
Noville is a small Swiss municipality in the canton of Vaud, situated near the eastern end of Lake Geneva and known for its natural wetlands and rural character.
-
E.
Couvin
Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
- 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: Hanviller Triple: [Pays de Bitche, contains, Hanviller]
Generated description
Hanviller is a small commune in northeastern France, situated within the rural and forested Pays de Bitche area of the Moselle department in the Grand Est region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanviller Target entity description: Hanviller is a small commune in northeastern France, situated within the rural and forested Pays de Bitche area of the Moselle department in the Grand Est region.
-
A.
Villeblevin
Villeblevin is a small commune in north-central France, best known as the place where writer Albert Camus died in a car accident.
-
B.
Beaufays
Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
-
C.
Dourbie
The Dourbie is a river in southern France known for carving the scenic Gorges de la Dourbie through the limestone plateaus of the Massif Central.
-
D.
Noville
Noville is a small Swiss municipality in the canton of Vaud, situated near the eastern end of Lake Geneva and known for its natural wetlands and rural character.
-
E.
Couvin
Couvin is a municipality in southern Belgium known for its extensive forests, caves, and rural landscapes within the Walloon region.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded72fec948190b1c9705538c57976 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969e2d888190afbb9c8fd8a707c8 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98bf505c819089740180a763db34 |
completed | May 9, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9aab47888190812ff9732380e124 |
completed | May 9, 2026, 2:23 a.m. |
Created at: April 10, 2026, 2:54 a.m.