Triple

T21511775
Position Surface form Disambiguated ID Type / Status
Subject Buhlois E530741 entity
Predicate hasFemaleForm P17779 FINISHED
Object Buhloises
Buhloises is a fictional or stylized name that appears to refer to a character or entity with a specifically designated female form.
E1487770 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: Buhloises | Statement: [Buhlois, hasFemaleForm, Buhloises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buhloises
Context triple: [Buhlois, hasFemaleForm, Buhloises]
  • A. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • B. Bulzi
    Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
  • C. Orlybus
    Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
  • D. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • E. Boidobra
    Boidobra is a civil parish located in the municipality of Covilhã in central Portugal.
  • 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: Buhloises
Triple: [Buhlois, hasFemaleForm, Buhloises]
Generated description
Buhloises is a fictional or stylized name that appears to refer to a character or entity with a specifically designated female form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buhloises
Target entity description: Buhloises is a fictional or stylized name that appears to refer to a character or entity with a specifically designated female form.
  • A. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • B. Bulzi
    Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
  • C. Orlybus
    Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
  • D. Zebilla
    Zebilla is a town in Ghana’s Upper East Region that serves as a local commercial and administrative center.
  • E. Boidobra
    Boidobra is a civil parish located in the municipality of Covilhã in central Portugal.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea863b18819080e3ff249b10ec28 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e145ac5c8190a05cc2a80d28cac3 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1fc4f7881909e198768cdb43747 completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2c86858819092216c12d8aa3348 completed May 17, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:25 p.m.