Triple

T21353824
Position Surface form Disambiguated ID Type / Status
Subject Bitche canton E526557 entity
Predicate contains P35 FINISHED
Object Lambach
Lambach is a small commune in the Moselle department of northeastern France, situated near the border with Germany.
 E1494422 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: Lambach | Statement: [Bitche canton, contains, Lambach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lambach
Context triple: [Bitche canton, contains, Lambach]
  • A. Lambach
    Lambach is a market town in Upper Austria known for its historic Benedictine monastery and its location along the Traun River.
  • B. Lauibach
    Lauibach is a stream in Switzerland that serves as a primary tributary feeding into Lake Lungern in the canton of Obwalden.
  • C. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • D. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • E. Haslach
    Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
  • 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: Lambach
Triple: [Bitche canton, contains, Lambach]
Generated description
Lambach is a small commune in the Moselle department of northeastern France, situated near the border with Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lambach
Target entity description: Lambach is a small commune in the Moselle department of northeastern France, situated near the border with Germany.
  • A. Lambach
    Lambach is a market town in Upper Austria known for its historic Benedictine monastery and its location along the Traun River.
  • B. Lauibach
    Lauibach is a stream in Switzerland that serves as a primary tributary feeding into Lake Lungern in the canton of Obwalden.
  • C. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • D. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • E. Haslach
    Haslach is a district of the town of Herrenberg in the German state of Baden-Württemberg.
  • 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_6a0a0f7f236081909986f17b2fbb1ddb completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a10106ab4819096045effbbdfe95e completed May 17, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10c8c5bc8190add0ee63eb338964 completed May 17, 2026, 7:02 p.m.
Created at: April 16, 2026, 5:05 p.m.