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.