Triple

T21353816
Position Surface form Disambiguated ID Type / Status
Subject Bitche canton E526557 entity
Predicate contains P35 FINISHED
Object Rolbing
Rolbing is a small commune in the Moselle department of northeastern France, situated in the historical region of Lorraine near the border with Germany.
E1480476 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: Rolbing | Statement: [Bitche canton, contains, Rolbing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolbing
Context triple: [Bitche canton, contains, Rolbing]
  • A. Breuberg
    Breuberg is a small town in the German state of Hesse, known for its well-preserved medieval hilltop castle overlooking the Odenwald region.
  • B. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • C. Lohrberg
    Lohrberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and scenic hiking paths overlooking the Rhine valley.
  • D. Lohrberg
    Lohrberg is a hill and popular recreational area in Frankfurt am Main, known for its vineyards, panoramic city views, and green spaces.
  • E. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • 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: Rolbing
Triple: [Bitche canton, contains, Rolbing]
Generated description
Rolbing is a small commune in the Moselle department of northeastern France, situated in the historical region of Lorraine near the border with Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rolbing
Target entity description: Rolbing is a small commune in the Moselle department of northeastern France, situated in the historical region of Lorraine near the border with Germany.
  • A. Breuberg
    Breuberg is a small town in the German state of Hesse, known for its well-preserved medieval hilltop castle overlooking the Odenwald region.
  • B. Rollag
    Rollag is a small rural municipality in southeastern Norway known for its traditional wooden architecture and scenic valley landscapes.
  • C. Lohrberg
    Lohrberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and scenic hiking paths overlooking the Rhine valley.
  • D. Lohrberg
    Lohrberg is a hill and popular recreational area in Frankfurt am Main, known for its vineyards, panoramic city views, and green spaces.
  • E. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bac9e1481909121e89f046c77f6 completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad61410081909dbed86cc6b70bca completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09ae7ab31081908d57ff9ffe7c223b completed May 17, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_6a09af42dc78819096e4e08f8ec44f71 completed May 17, 2026, 12:06 p.m.
Created at: April 16, 2026, 5:05 p.m.