Triple

T21353817
Position Surface form Disambiguated ID Type / Status
Subject Bitche canton E526557 entity
Predicate contains P35 FINISHED
Object Schmittviller
Schmittviller is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
E1486214 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: Schmittviller | Statement: [Bitche canton, contains, Schmittviller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schmittviller
Context triple: [Bitche canton, contains, Schmittviller]
  • A. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • B. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • C. Lombach
    The Lombach is a small river in the Bernese Oberland region of Switzerland that flows through the municipality of Unterseen near Interlaken.
  • D. Orisbach
    Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
  • E. Leuchtenberg
    Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
  • 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: Schmittviller
Triple: [Bitche canton, contains, Schmittviller]
Generated description
Schmittviller is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schmittviller
Target entity description: Schmittviller is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
  • A. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • B. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • C. Lombach
    The Lombach is a small river in the Bernese Oberland region of Switzerland that flows through the municipality of Unterseen near Interlaken.
  • D. Orisbach
    Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
  • E. Leuchtenberg
    Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
  • 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_69e8af9aa9508190b756cc8e07084c8e completed April 22, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfde40a08190a577e3999c1836ce completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d08ffa3c8190b5ab7e4cbf78719f completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d18c77e481908a353d443d79b7ca completed May 17, 2026, 2:32 p.m.
Created at: April 16, 2026, 5:05 p.m.