Triple

T7533792
Position Surface form Disambiguated ID Type / Status
Subject Wiehe E178094 entity
Predicate locatedNear P294 FINISHED
Object Artern
Artern is a small town in the German state of Thuringia, known for its location along the Unstrut River and its historical salt production.
 E671296 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: Artern | Statement: [Wiehe, locatedNear, Artern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artern
Context triple: [Wiehe, locatedNear, Artern]
  • A. Arvit
    Arvit is the Jewish evening prayer service recited daily after nightfall.
  • B. Arth
    Arth is a Swiss lakeside municipality in the canton of Schwyz, situated on the shores of Lake Zug and known for its scenic Alpine surroundings.
  • C. Arrott
    Arrott is the station code for the Arrott Transportation Center, a public transit hub in Philadelphia, Pennsylvania.
  • D. Alteveer
    Alteveer is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • E. Arthel
    Arthel is the given first name of legendary American bluegrass and folk guitarist and singer Doc Watson.
  • 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: Artern
Triple: [Wiehe, locatedNear, Artern]
Generated description
Artern is a small town in the German state of Thuringia, known for its location along the Unstrut River and its historical salt production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artern
Target entity description: Artern is a small town in the German state of Thuringia, known for its location along the Unstrut River and its historical salt production.
  • A. Arvit
    Arvit is the Jewish evening prayer service recited daily after nightfall.
  • B. Arth
    Arth is a Swiss lakeside municipality in the canton of Schwyz, situated on the shores of Lake Zug and known for its scenic Alpine surroundings.
  • C. Arrott
    Arrott is the station code for the Arrott Transportation Center, a public transit hub in Philadelphia, Pennsylvania.
  • D. Alteveer
    Alteveer is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • E. Arthel
    Arthel is the given first name of legendary American bluegrass and folk guitarist and singer Doc Watson.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8493964819086aeddfa4872a70b completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f0765b48190b8df68f22c8901f4 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c8514ed0108190bb9686422818b2d1 completed March 28, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69c851f462dc8190a706c9580449a396 completed March 28, 2026, 10:11 p.m.
Created at: March 27, 2026, 3:47 p.m.