Triple

T3543575
Position Surface form Disambiguated ID Type / Status
Subject CTA Blue Line E74942 entity
Predicate hasStation P35 FINISHED
Object Damen
Damen is a Chicago 'L' rapid transit station on the Blue Line serving the city's Wicker Park and Bucktown neighborhoods.
E367322 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: Damen | Statement: [CTA Blue Line, hasStation, Damen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damen
Context triple: [CTA Blue Line, hasStation, Damen]
  • A. Gents
    Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
  • B. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • C. MAN
    MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • D. Men
    Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
  • E. Gentlemen
    Gentlemen is the nickname and mascot identity for the men's athletic teams of Centenary College of Louisiana.
  • 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: Damen
Triple: [CTA Blue Line, hasStation, Damen]
Generated description
Damen is a Chicago 'L' rapid transit station on the Blue Line serving the city's Wicker Park and Bucktown neighborhoods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Damen
Target entity description: Damen is a Chicago 'L' rapid transit station on the Blue Line serving the city's Wicker Park and Bucktown neighborhoods.
  • A. Gents
    Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
  • B. MAN
    MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
  • C. MAN
    MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
  • D. Men
    Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
  • E. Gentlemen
    Gentlemen is the nickname and mascot identity for the men's athletic teams of Centenary College of Louisiana.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf752dd481909226044ffe595338 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdd0cb4819086119b54c2708850 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38cb6a2188190b68f4903144a0e51 completed March 13, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_69b39062a10c8190bc227c02cf4f3ab1 completed March 13, 2026, 4:19 a.m.
Created at: March 8, 2026, 3:20 p.m.