Triple

T8248388
Position Surface form Disambiguated ID Type / Status
Subject Hydra E192900 entity
Predicate supportsProtocol P203 FINISHED
Object Subversion E184313 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: Subversion | Statement: [Hydra, supportsProtocol, Subversion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subversion
Context triple: [Hydra, supportsProtocol, Subversion]
  • A. Subversion chosen
    Subversion is a centralized version control system used to manage and track changes to source code and other files in software development projects.
  • B. SVN
    SVN is the IATA airport code for Hunter Army Airfield, a U.S. military airfield located near Savannah, Georgia.
  • C. SVN
    SVN is the three-letter ISO 3166-1 alpha-3 country code assigned to Slovenia.
  • D. Concurrent Versions System
    Concurrent Versions System (CVS) is an early, widely used open-source version control system that manages changes to source code in collaborative software development.
  • E. CollabNet
    CollabNet is a software development and DevOps company best known for creating and stewarding the Subversion (SVN) version control system.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3530ca148190a28761622d0cf663 completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.