Triple

T13399266
Position Surface form Disambiguated ID Type / Status
Subject Wilshire/Normandie station E319783 entity
Predicate hasStationCode P1289 FINISHED
Object D3
D3 is the station code assigned to the Wilshire/Normandie station on the Los Angeles Metro Rail system.
E1039775 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: D3 | Statement: [Wilshire/Normandie station, hasStationCode, D3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D3
Context triple: [Wilshire/Normandie station, hasStationCode, D3]
  • A. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • B. D3
    D3 is the internal designation for the second-generation Audi A8 luxury sedan, produced in the mid-2000s and known for its aluminum space frame construction and advanced technology features.
  • C. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • D. d3
    d3 is a purpose-built creative hub in Dubai that fosters design, fashion, art, and innovation through studios, galleries, offices, and community events.
  • E. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • 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: D3
Triple: [Wilshire/Normandie station, hasStationCode, D3]
Generated description
D3 is the station code assigned to the Wilshire/Normandie station on the Los Angeles Metro Rail system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: D3
Target entity description: D3 is the station code assigned to the Wilshire/Normandie station on the Los Angeles Metro Rail system.
  • A. D3
    D3 is one of the commuter rail lines of the Moscow Central Diameters urban rail system, connecting Moscow with its surrounding suburbs.
  • B. D3
    D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • C. D3
    D3 is the internal designation for the second-generation Audi A8 luxury sedan, produced in the mid-2000s and known for its aluminum space frame construction and advanced technology features.
  • D. d3
    d3 is a purpose-built creative hub in Dubai that fosters design, fashion, art, and innovation through studios, galleries, offices, and community events.
  • E. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f730745a248190b32c11eeee618864 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7313c6bcc8190a848cf8945a0ae2a completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f736f2f6a081908d532dba6f34ed97 completed May 3, 2026, 11:52 a.m.
Created at: April 9, 2026, 9:34 p.m.