Triple

T10560463
Position Surface form Disambiguated ID Type / Status
Subject Arquus E249204 entity
Predicate formerName P65 FINISHED
Object RTD
RTD was the former name of Arquus, a French manufacturer specializing in military and defense vehicles.
 E870626 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: RTD | Statement: [Arquus, formerName, RTD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTD
Context triple: [Arquus, formerName, RTD]
  • A. RTD
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • B. RTD
    RTD is the commonly used abbreviation for the ASME Rail Transportation Division, a professional group focused on rail engineering and technology within the American Society of Mechanical Engineers.
  • C. DG RTD
    DG RTD is the European Commission’s Directorate-General responsible for EU policy on research, science, and innovation.
  • D. RTU
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • E. Steinhart
    Steinhart is a fictional character appearing in the work titled "The Grave."
  • 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: RTD
Triple: [Arquus, formerName, RTD]
Generated description
RTD was the former name of Arquus, a French manufacturer specializing in military and defense vehicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTD
Target entity description: RTD was the former name of Arquus, a French manufacturer specializing in military and defense vehicles.
  • A. RTD
    RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
  • B. RTD
    RTD is the commonly used abbreviation for the ASME Rail Transportation Division, a professional group focused on rail engineering and technology within the American Society of Mechanical Engineers.
  • C. DG RTD
    DG RTD is the European Commission’s Directorate-General responsible for EU policy on research, science, and innovation.
  • D. RTU
    RTU was the original name of the Chilean television channel now known as Chilevisión, one of Chile’s major national broadcasters.
  • E. Steinhart
    Steinhart is a fictional character appearing in the work titled "The Grave."
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5271f3c6c819080b49fbe3aa09e09 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c979788190b11b02748ed44153 completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d9398b63f08190910dd838ad11de6e completed April 10, 2026, 5:55 p.m.
Created at: April 6, 2026, 12:35 p.m.