Triple

T3752191
Position Surface form Disambiguated ID Type / Status
Subject Purple Line (CTA) E81356 entity
Predicate hasStation P35 FINISHED
Object Howard
Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple CTA 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: [Purple Line (CTA), hasStation, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard
Context triple: [Purple Line (CTA), hasStation, Howard]
  • A. Howard
    Howard is the middle name of William Howard Taft, the 27th president of the United States and later Chief Justice of the Supreme Court.
  • B. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • C. Howard
    Howard is a common English surname shared by numerous notable figures across entertainment, politics, and other fields.
  • D. Howard
    Howard is a masculine given name of Old English origin meaning "high guardian" or "noble watchman," borne by numerous notable figures across politics, arts, and academia.
  • E. Howard
    Howard is one of Sethe’s sons in Toni Morrison’s novel "Beloved," a child whose life is shaped by the trauma and legacy of slavery.
  • 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: [Purple Line (CTA), hasStation, Howard]
Generated description
Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple CTA 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 CTA lines.
  • A. Howard chosen
    Howard is a major Chicago Transit Authority rail station that serves as a key northern terminal and transfer point for multiple 'L' lines.
  • B. Howard
    Howard is the middle name of William Howard Taft, the 27th president of the United States and later Chief Justice of the Supreme Court.
  • C. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • D. Howard
    Howard is a masculine given name of Old English origin meaning "high guardian" or "noble watchman," borne by numerous notable figures across politics, arts, and academia.
  • E. Howard
    Howard is a young boy who serves as a minor but symbolically important character in the play "Inherit the Wind," representing the town’s impressionable youth amid the evolution-versus-creationism trial.
  • F. None of above.

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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb92135c819093f6d616d3ad28ff completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e6c48881909ac813e603175eb0 completed March 14, 2026, 6:44 a.m.
NEDg Description generation batch_69b50f2492c4819095dd2ccccc62b287 completed March 14, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_69b50f8249488190a9d399c43238047f completed March 14, 2026, 7:34 a.m.
Created at: March 8, 2026, 3:35 p.m.