Triple
T15001332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays de Bitche |
E374095
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Schorbach
Schorbach is a small commune in northeastern France, situated in the Moselle department within the historically and geographically distinct Pays de Bitche region.
|
E1169010
|
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: Schorbach | Statement: [Pays de Bitche, contains, Schorbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schorbach Context triple: [Pays de Bitche, contains, Schorbach]
-
A.
Speyerbach
The Speyerbach is a river in the German state of Rhineland-Palatinate that flows from the Palatinate Forest through several towns before joining the Rhine near Speyer.
-
B.
Riedbach
Riedbach is a small municipality in the Bavarian region of Franconia in Germany.
-
C.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Hammersbach
Hammersbach is a village in the Bavarian Alps of Germany that serves as a popular gateway for hiking and mountaineering routes into the nearby mountains, including the Höllental valley.
- 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: Schorbach Triple: [Pays de Bitche, contains, Schorbach]
Generated description
Schorbach is a small commune in northeastern France, situated in the Moselle department within the historically and geographically distinct Pays de Bitche region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schorbach Target entity description: Schorbach is a small commune in northeastern France, situated in the Moselle department within the historically and geographically distinct Pays de Bitche region.
-
A.
Speyerbach
The Speyerbach is a river in the German state of Rhineland-Palatinate that flows from the Palatinate Forest through several towns before joining the Rhine near Speyer.
-
B.
Riedbach
Riedbach is a small municipality in the Bavarian region of Franconia in Germany.
-
C.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
D.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
E.
Hammersbach
Hammersbach is a village in the Bavarian Alps of Germany that serves as a popular gateway for hiking and mountaineering routes into the nearby mountains, including the Höllental valley.
- 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_69ff677b7be08190afc2767835836908 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff67f64d2c81908fd2d8a09cd0b369 |
completed | May 9, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6888a85481909e8cdd34ed230fa4 |
completed | May 9, 2026, 5:02 p.m. |
Created at: April 10, 2026, 2:54 a.m.