Triple

T7933110
Position Surface form Disambiguated ID Type / Status
Subject Artifact Registry E184228 entity
Predicate supportsFormat P203 FINISHED
Object APT E192870 NE FINISHED

How this triple was built (2 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: APT | Statement: [Artifact Registry, supportsFormat, APT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APT
Context triple: [Artifact Registry, supportsFormat, APT]
  • A. APT chosen
    APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
  • B. APT-P
    APT-P was the experimental tilting prototype of British Rail’s Advanced Passenger Train, built to test high-speed rail technology in the 1970s–80s.
  • C. APT-E
    APT-E was an experimental British tilting high-speed train prototype developed in the 1970s to test advanced technologies for the Advanced Passenger Train program.
  • D. APT-S
    APT-S was a proposed production variant of British Rail’s experimental tilting Advanced Passenger Train, intended for regular high-speed passenger service.
  • E. arp
    Arp is the ISO 639-3 language code for the Arapaho language, an Algonquian language spoken by the Arapaho people of the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3acfd2a88190b1a13cd6fdedc272 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c041e588190bfbf251ed88d5bcd completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:08 p.m.