Triple

T17444825
Position Surface form Disambiguated ID Type / Status
Subject QLine E424753 entity
Predicate owner P347 FINISHED
Object M-1 RAIL
M-1 RAIL is the private consortium that operates and manages Detroit’s QLine streetcar system.
E1269752 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: M-1 RAIL | Statement: [QLine, owner, M-1 RAIL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-1 RAIL
Context triple: [QLine, owner, M-1 RAIL]
  • A. M-13
    M-13 is a state highway in Michigan that runs through the Saginaw Bay region, connecting communities such as Essexville with the broader state road network.
  • B. M-14
    M-14 is a state highway in southeastern Michigan that serves as a major commuter route connecting Ann Arbor with the western suburbs of the Detroit metropolitan area.
  • C. M1A line
    The M1A line is a major rapid transit route in the Istanbul Metro system that connects central Istanbul with Atatürk Airport and several key western districts.
  • D. M-10
    M-10 is a major state highway in Michigan, commonly known as the Lodge Freeway, that serves as a key north–south route through the Detroit metropolitan area.
  • E. M-10
    M-10 is a major motorway in Russia that serves as a key route connecting Moscow and Saint Petersburg.
  • 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: M-1 RAIL
Triple: [QLine, owner, M-1 RAIL]
Generated description
M-1 RAIL is the private consortium that operates and manages Detroit’s QLine streetcar system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M-1 RAIL
Target entity description: M-1 RAIL is the private consortium that operates and manages Detroit’s QLine streetcar system.
  • A. M-13
    M-13 is a state highway in Michigan that runs through the Saginaw Bay region, connecting communities such as Essexville with the broader state road network.
  • B. M-14
    M-14 is a state highway in southeastern Michigan that serves as a major commuter route connecting Ann Arbor with the western suburbs of the Detroit metropolitan area.
  • C. M1A line
    The M1A line is a major rapid transit route in the Istanbul Metro system that connects central Istanbul with Atatürk Airport and several key western districts.
  • D. M-10
    M-10 is a major state highway in Michigan, commonly known as the Lodge Freeway, that serves as a key north–south route through the Detroit metropolitan area.
  • E. M-10
    M-10 is a major motorway in Russia that serves as a key route connecting Moscow and Saint Petersburg.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffa2d84819086474649eba1065c completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff85fa0819098b01ec5a7ebb730 completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0cd1df481908c760bdfcacba496 completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b208e6d8819080a363da368ec2e9 completed May 11, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:47 a.m.