Triple

T11486765
Position Surface form Disambiguated ID Type / Status
Subject Remscheid E272299 entity
Predicate hasCityDistrict P2709 FINISHED
Object Hasten
Hasten is a district of the German city of Remscheid, known for its historic buildings and traditional Bergisches architecture.
 E928772 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: Hasten | Statement: [Remscheid, hasCityDistrict, Hasten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hasten
Context triple: [Remscheid, hasCityDistrict, Hasten]
  • A. Hastière
    Hastière is a municipality in the Walloon region of southern Belgium, known for its scenic Meuse River setting and historic religious architecture.
  • B. Hurry
    "Hurry" is a song by Teyana Taylor from her 2018 R&B album *K.T.S.E.*.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Fast as You
    "Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
  • E. Hurry Up
    "Hurry Up" is a song written by American songwriter Sharon Sheeley, known for her influential contributions to early rock and roll music.
  • 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: Hasten
Triple: [Remscheid, hasCityDistrict, Hasten]
Generated description
Hasten is a district of the German city of Remscheid, known for its historic buildings and traditional Bergisches architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hasten
Target entity description: Hasten is a district of the German city of Remscheid, known for its historic buildings and traditional Bergisches architecture.
  • A. Hastière
    Hastière is a municipality in the Walloon region of southern Belgium, known for its scenic Meuse River setting and historic religious architecture.
  • B. Hurry
    "Hurry" is a song by Teyana Taylor from her 2018 R&B album *K.T.S.E.*.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Fast as You
    "Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
  • E. Hurry Up
    "Hurry Up" is a song written by American songwriter Sharon Sheeley, known for her influential contributions to early rock and roll music.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
NEDg Description generation batch_69e610a5ea0481908169c58dc0831b76 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e6182b06f88190ab36d976ac989019 completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.