Triple

T22950100
Position Surface form Disambiguated ID Type / Status
Subject Alzette E569988 entity
Predicate passesNear P416 FINISHED
Object Lintgen
Lintgen is a small commune and town in central Luxembourg, situated in the valley of the Alzette River.
E1563454 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: Lintgen | Statement: [Alzette, passesNear, Lintgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lintgen
Context triple: [Alzette, passesNear, Lintgen]
  • A. Lippinghausen
    Lippinghausen is a locality within the municipality of Hiddenhausen in the German state of North Rhine-Westphalia.
  • B. Engertal
    Engertal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, forests, and popular hiking routes.
  • C. Engern
    Engern is the German name for Angria, a historical region in what is now northwestern Germany.
  • D. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • E. Schehring
    Schehring is an alternative spelling or variant name of Schering, a historic German pharmaceutical and chemical company known for its contributions to medicine and life sciences.
  • 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: Lintgen
Triple: [Alzette, passesNear, Lintgen]
Generated description
Lintgen is a small commune and town in central Luxembourg, situated in the valley of the Alzette River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lintgen
Target entity description: Lintgen is a small commune and town in central Luxembourg, situated in the valley of the Alzette River.
  • A. Lippinghausen
    Lippinghausen is a locality within the municipality of Hiddenhausen in the German state of North Rhine-Westphalia.
  • B. Engertal
    Engertal is a scenic alpine valley in the Karwendel mountain range, known for its rugged peaks, forests, and popular hiking routes.
  • C. Engern
    Engern is the German name for Angria, a historical region in what is now northwestern Germany.
  • D. Lutzenberg
    Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
  • E. Schehring
    Schehring is an alternative spelling or variant name of Schering, a historic German pharmaceutical and chemical company known for its contributions to medicine and life sciences.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a085188190b06ffa227087302d completed April 29, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca161ddc8190923967d024e894ba completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaebed688190b2ea74c588922d98 completed May 19, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbec354081909dbeeb389e86d38c completed May 19, 2026, 2:33 a.m.
Created at: April 17, 2026, 3:46 p.m.