Triple

T2565859
Position Surface form Disambiguated ID Type / Status
Subject Chemnitz–Flöha railway E57348 entity
Predicate terminus P388 FINISHED
Object Flöha
Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
 E279933 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: Flöha | Statement: [Chemnitz–Flöha railway, terminus, Flöha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flöha
Context triple: [Chemnitz–Flöha railway, terminus, Flöha]
  • A. Flen
    Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
  • B. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • C. Fidra
    Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
  • D. Faraulep
    Faraulep is a small atoll and municipality in the Federated States of Micronesia, located in the western Pacific Ocean as part of Yap State.
  • E. Loferl
    Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
  • 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: Flöha
Triple: [Chemnitz–Flöha railway, terminus, Flöha]
Generated description
Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flöha
Target entity description: Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
  • A. Flen
    Flen is a small Swedish town known as the administrative center of Flen Municipality in the province of Södermanland.
  • B. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • C. Fidra
    Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
  • D. Faraulep
    Faraulep is a small atoll and municipality in the Federated States of Micronesia, located in the western Pacific Ocean as part of Yap State.
  • E. Loferl
    Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35ef22c8190966612cc75f69eca completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6562d6f08190a2be483b06a789cc completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af669436208190901d1f34592c1a42 completed March 10, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69af6760cf7c8190bb681f573828049e completed March 10, 2026, 12:35 a.m.
Created at: March 6, 2026, 9:48 p.m.