Triple

T3556901
Position Surface form Disambiguated ID Type / Status
Subject CTA Brown Line E75239 entity
Predicate hasStation P35 FINISHED
Object State/Lake
State/Lake is an elevated Chicago 'L' station in the Loop that serves the Brown Line and several other CTA train lines.
E366593 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: State/Lake | Statement: [CTA Brown Line, hasStation, State/Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State/Lake
Context triple: [CTA Brown Line, hasStation, State/Lake]
  • A. Stan State
    Stan State is the commonly used name for California State University, Stanislaus, a public university in Turlock, California, known for its diverse academic programs and regional impact.
  • B. Aimeliik State
    Aimeliik State is one of the states of Palau, located on the western side of the island of Babeldaob and known for its traditional villages and coastal mangrove forests.
  • C. State
    State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
  • D. State
    State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
  • E. Iller
    The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
  • 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: State/Lake
Triple: [CTA Brown Line, hasStation, State/Lake]
Generated description
State/Lake is an elevated Chicago 'L' station in the Loop that serves the Brown Line and several other CTA train lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: State/Lake
Target entity description: State/Lake is an elevated Chicago 'L' station in the Loop that serves the Brown Line and several other CTA train lines.
  • A. Stan State
    Stan State is the commonly used name for California State University, Stanislaus, a public university in Turlock, California, known for its diverse academic programs and regional impact.
  • B. Aimeliik State
    Aimeliik State is one of the states of Palau, located on the western side of the island of Babeldaob and known for its traditional villages and coastal mangrove forests.
  • C. State
    State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
  • D. State
    State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
  • E. Iller
    The Iller is a river in southern Germany that flows through Bavaria and Baden-Württemberg before joining the Danube.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc057cc788190a6c4f3781f43abce completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bf40dac8190837053dd315303af completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c6e70a88190805de417a8740d64 completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cd2c540819083d3188c2dea7283 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.