Triple

T15001334
Position Surface form Disambiguated ID Type / Status
Subject Pays de Bitche E374095 entity
Predicate contains P35 FINISHED
Object Goetzenbruck
Goetzenbruck is a small commune in northeastern France’s Moselle department, historically known for its glassmaking industry and location within the Pays de Bitche region.
E1146084 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: Goetzenbruck | Statement: [Pays de Bitche, contains, Goetzenbruck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goetzenbruck
Context triple: [Pays de Bitche, contains, Goetzenbruck]
  • A. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • B. Hersbruck
    Hersbruck is a small historic town in the Franconian region of Bavaria, Germany, known for its picturesque setting in the Pegnitz Valley and traditional Bavarian architecture.
  • C. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • D. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • E. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • 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: Goetzenbruck
Triple: [Pays de Bitche, contains, Goetzenbruck]
Generated description
Goetzenbruck is a small commune in northeastern France’s Moselle department, historically known for its glassmaking industry and location within the Pays de Bitche region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goetzenbruck
Target entity description: Goetzenbruck is a small commune in northeastern France’s Moselle department, historically known for its glassmaking industry and location within the Pays de Bitche region.
  • A. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • B. Hersbruck
    Hersbruck is a small historic town in the Franconian region of Bavaria, Germany, known for its picturesque setting in the Pegnitz Valley and traditional Bavarian architecture.
  • C. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • D. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • E. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • 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_69fee5e0ed148190bd357be922fe8319 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6db0e30819080ac51f35adb64d5 completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee74980a48190ae6054c3feabcf0e completed May 9, 2026, 7:50 a.m.
Created at: April 10, 2026, 2:54 a.m.