Triple

T25704096
Position Surface form Disambiguated ID Type / Status
Subject Country of the Houyhnhnms E644539 entity
Predicate languageUsedByInhabitants P115774 FINISHED
Object Houyhnhnm language
Houyhnhnm language is the fictional, rational equine species’ tongue depicted in Jonathan Swift’s satirical novel "Gulliver’s Travels."
 E1691813 NE FINISHED

How this triple was built (3 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: Houyhnhnm language | Statement: [Country of the Houyhnhnms, languageUsedByInhabitants, Houyhnhnm language]
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: Houyhnhnm language
Triple: [Country of the Houyhnhnms, languageUsedByInhabitants, Houyhnhnm language]
Generated description
Houyhnhnm language is the fictional, rational equine species’ tongue depicted in Jonathan Swift’s satirical novel "Gulliver’s Travels."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: languageUsedByInhabitants
Context triple: [Country of the Houyhnhnms, languageUsedByInhabitants, Houyhnhnm language]
  • A. hasLanguageInhabitants
    Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
  • B. languageUsedAs
    Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
  • C. languageUsedInLocality chosen
    Indicates that a particular language is used or spoken within a specific locality or geographic area.
  • D. languageOfVocalization
    Indicates the language in which a vocalization (such as speech or singing) is produced.
  • E. languageOfEnvironment
    Indicates the language predominantly used or present in a given environment or context.
  • F. None of above.

Provenance (6 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_69e77e83c8ec8190bf52fcdac4838984 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f7431c0eec81909ead443e07d75e18 completed May 3, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c16eac0481908cc868d18d39b123 completed May 22, 2026, 8:49 p.m.
NEDg Description generation batch_6a10c3e6d8ac81908a6e9f2bde52e91b completed May 22, 2026, 9 p.m.
NED2 Entity disambiguation (via description) batch_6a10c459a0688190a40ab9a407769140 completed May 22, 2026, 9:02 p.m.
PD Predicate disambiguation batch_69f74143cf708190a12d487884298437 completed May 3, 2026, 12:36 p.m.
Created at: April 21, 2026, 9:01 p.m.