Triple

T8248397
Position Surface form Disambiguated ID Type / Status
Subject Hydra E192900 entity
Predicate supportsProtocol P203 FINISHED
Object Rsh
Rsh is a protocol used within the Hydra ecosystem, likely related to its communication or operational framework.
E721432 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: Rsh | Statement: [Hydra, supportsProtocol, Rsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rsh
Context triple: [Hydra, supportsProtocol, Rsh]
  • A. RSH
    RSH is the National Rail station code for Ramsgreave and Wilpshire railway station in Lancashire, England.
  • B. R.S.H.M.
    R.S.H.M. is the abbreviation for the Religious of the Sacred Heart of Mary, a Roman Catholic religious institute dedicated to education, social justice, and pastoral ministry.
  • C. RuSHA
    RuSHA was a Nazi SS office responsible for implementing racial policies, including racial selection, resettlement, and the persecution and displacement of populations in occupied territories.
  • D. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • E. RS
    RS is the two-letter ISO 3166-1 alpha-2 country code for Serbia.
  • 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: Rsh
Triple: [Hydra, supportsProtocol, Rsh]
Generated description
Rsh is a protocol used within the Hydra ecosystem, likely related to its communication or operational framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rsh
Target entity description: Rsh is a protocol used within the Hydra ecosystem, likely related to its communication or operational framework.
  • A. RSH
    RSH is the National Rail station code for Ramsgreave and Wilpshire railway station in Lancashire, England.
  • B. R.S.H.M.
    R.S.H.M. is the abbreviation for the Religious of the Sacred Heart of Mary, a Roman Catholic religious institute dedicated to education, social justice, and pastoral ministry.
  • C. RuSHA
    RuSHA was a Nazi SS office responsible for implementing racial policies, including racial selection, resettlement, and the persecution and displacement of populations in occupied territories.
  • D. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • E. RS
    RS is the two-letter ISO 3166-1 alpha-2 country code for Serbia.
  • 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_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.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.