Triple

T626535
Position Surface form Disambiguated ID Type / Status
Subject Red Line (CTA) E15830 entity
Predicate servesStation P839 FINISHED
Object Howard
Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple 'L' lines.
 E81355 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: Howard | Statement: [Red Line (CTA), servesStation, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howard
Context triple: [Red Line (CTA), servesStation, Howard]
  • A. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • B. Howard
    Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
  • C. Johnson
    Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Clinton
    Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
  • 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: Howard
Triple: [Red Line (CTA), servesStation, Howard]
Generated description
Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple 'L' lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Howard
Target entity description: Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple 'L' lines.
  • A. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • B. Howard
    Howard is a volume series of early U.S. Supreme Court case reports compiled by Benjamin Chew Howard, later incorporated into the official United States Reports.
  • C. Johnson
    Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Clinton
    Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e587c448190987943a6aad209d1 completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580335a5c819096d0c105178c4ad7 completed March 2, 2026, 12:18 p.m.
NEDg Description generation batch_69a585a9a85481908b258f5cfc86a28d completed March 2, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69a586c9fe0881908582e60bb9755eba completed March 2, 2026, 12:47 p.m.
Created at: March 1, 2026, 7:35 p.m.