Triple

T2692554
Position Surface form Disambiguated ID Type / Status
Subject District 3 (Caltrans) E58435 entity
Predicate hasAbbreviation P43 FINISHED
Object 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.
 E289941 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: [District 3 (Caltrans), hasAbbreviation, D3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: D3
Context triple: [District 3 (Caltrans), hasAbbreviation, D3]
  • 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. D4
    D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
  • C. D2
    D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
  • D. D5
    D5 is a commuter rail line within the Moscow Central Diameters network that serves as one of the key cross-city routes in the Moscow metropolitan area.
  • E. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • 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: [District 3 (Caltrans), hasAbbreviation, D3]
Generated description
D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: D3
Target entity description: D3 is the commonly used abbreviation for California Department of Transportation's District 3, which oversees state transportation infrastructure in part of Northern California.
  • 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. D4
    D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
  • C. D2
    D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
  • D. D5
    D5 is a commuter rail line within the Moscow Central Diameters network that serves as one of the key cross-city routes in the Moscow metropolitan area.
  • E. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6501088190b8fe1ba8de4f6e00 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb039cdcc8190953368c1f6757503 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0c27ee48190a319fd2fab02f755 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:54 p.m.