Triple

T9611713
Position Surface form Disambiguated ID Type / Status
Subject PDP-8 E232116 entity
Predicate successor P78 FINISHED
Object VT78
VT78 is a later DEC minicomputer model that followed and built upon the design and capabilities of the PDP-8.
E810931 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: VT78 | Statement: [PDP-8, successor, VT78]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VT78
Context triple: [PDP-8, successor, VT78]
  • A. VT52
    VT52 is an early DEC video terminal introduced in the mid-1970s, known for its compact design and influential control codes that shaped later terminal standards.
  • B. VTST
    VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
  • C. HV71
    HV71 is a professional ice hockey club from Jönköping, Sweden, competing in the country’s top leagues and known as one of the prominent teams in Swedish hockey.
  • D. UP-78
    UP-78 is the vehicle registration code assigned to motor vehicles registered in Kanpur, Uttar Pradesh, India.
  • E. VETZ
    VETZ is the ICAO airport code assigned to Tezpur Airport in Assam, India.
  • 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: VT78
Triple: [PDP-8, successor, VT78]
Generated description
VT78 is a later DEC minicomputer model that followed and built upon the design and capabilities of the PDP-8.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VT78
Target entity description: VT78 is a later DEC minicomputer model that followed and built upon the design and capabilities of the PDP-8.
  • A. VT52
    VT52 is an early DEC video terminal introduced in the mid-1970s, known for its compact design and influential control codes that shaped later terminal standards.
  • B. VTST
    VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
  • C. HV71
    HV71 is a professional ice hockey club from Jönköping, Sweden, competing in the country’s top leagues and known as one of the prominent teams in Swedish hockey.
  • D. UP-78
    UP-78 is the vehicle registration code assigned to motor vehicles registered in Kanpur, Uttar Pradesh, India.
  • E. VETZ
    VETZ is the ICAO airport code assigned to Tezpur Airport in Assam, India.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a87764481909ab96cd2ab96d14b completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179513f9081909bcd9a456c640ba3 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17b87ec6c8190a265bdbb6855dca5 completed April 4, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69d17beebd748190b85d7bd549276197 completed April 4, 2026, 9 p.m.
Created at: March 30, 2026, 8:09 p.m.