Triple
T15001333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays de Bitche |
E374095
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Baerenthal
Baerenthal is a small village in northeastern France’s Moselle department, known for its forested landscapes and location within the Pays de Bitche region.
|
E1138578
|
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: Baerenthal | Statement: [Pays de Bitche, contains, Baerenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baerenthal Context triple: [Pays de Bitche, contains, Baerenthal]
-
A.
Wechmar
Wechmar is a village in Thuringia, Germany, historically notable as the ancestral home of the Bach musical family.
-
B.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
-
C.
Kasendorf
Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
-
D.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
E.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
- 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: Baerenthal Triple: [Pays de Bitche, contains, Baerenthal]
Generated description
Baerenthal is a small village in northeastern France’s Moselle department, known for its forested landscapes and location within the Pays de Bitche region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baerenthal Target entity description: Baerenthal is a small village in northeastern France’s Moselle department, known for its forested landscapes and location within the Pays de Bitche region.
-
A.
Wechmar
Wechmar is a village in Thuringia, Germany, historically notable as the ancestral home of the Bach musical family.
-
B.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
-
C.
Kasendorf
Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
-
D.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
E.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
- 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_69feb7d956808190a3f17ef14c21d3af |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8e3c33081908a45f027d529b8fe |
completed | May 9, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febac2d3548190811323a40b09bc7e |
completed | May 9, 2026, 4:40 a.m. |
Created at: April 10, 2026, 2:54 a.m.