Triple

T27741246
Position Surface form Disambiguated ID Type / Status
Subject Stipiturus E701859 entity
Predicate vernacularNameOfMembers P80396 FINISHED
Object southern emu-wren
The southern emu-wren is a tiny, shy Australian songbird known for its long, filament-like tail feathers that resemble emu plumes and its preference for dense heathland habitats.
 E1787603 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: southern emu-wren | Statement: [Stipiturus, vernacularNameOfMembers, southern emu-wren]
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: southern emu-wren
Triple: [Stipiturus, vernacularNameOfMembers, southern emu-wren]
Generated description
The southern emu-wren is a tiny, shy Australian songbird known for its long, filament-like tail feathers that resemble emu plumes and its preference for dense heathland habitats.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: vernacularNameOfMembers
Context triple: [Stipiturus, vernacularNameOfMembers, southern emu-wren]
  • A. languageOfMembers
    Indicates that the specified language is used or spoken by the members of a given group or organization.
  • B. vernacularNameAppliedTo chosen
    Indicates that a particular common or vernacular name is assigned or applied to an entity.
  • C. multilingualName
    Indicates that an entity has one or more names expressed in multiple natural languages.
  • D. vernacularGroup
    Indicates a relationship where entities are grouped or associated based on sharing the same vernacular (local or commonly spoken) language.
  • E. vernacularOf
    Indicates that one language or dialect is the everyday, locally used form corresponding to another, more general or standard language.
  • 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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637169d6c8190bf74d5b882d2eb7d completed May 2, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e47755ec81909a9cf588b02ff667 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e4fd4b248190946024cf76a5bced completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e64b90cc819091f51c6cf1ecb148 completed May 24, 2026, 11:51 a.m.
PD Predicate disambiguation batch_69f63188e7408190af8ce8b93d128c63 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 4:11 p.m.