Triple

T15163344
Position Surface form Disambiguated ID Type / Status
Subject Chochenyo E362270 entity
Predicate hasAlternativeName P39 FINISHED
Object Chocheno
Chocheno is an alternative name for the Chochenyo language, a Native American Ohlone language historically spoken in the San Francisco Bay Area of California.
 E1139866 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: Chocheno | Statement: [Chochenyo, hasAlternativeName, Chocheno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chocheno
Context triple: [Chochenyo, hasAlternativeName, Chocheno]
  • A. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • B. Chigorodó
    Chigorodó is a municipality in Colombia’s Antioquia Department, known for its agricultural production and location in the Urabá region.
  • C. Chichilianne
    Chichilianne is a small commune in southeastern France known for its scenic location at the foot of Mont Aiguille in the Vercors massif.
  • D. Chasu
    Chasu is a Bantu language spoken by the Pare people of northeastern Tanzania.
  • E. Sochocin
    Sochocin is a small town in east-central Poland, located in the Masovian Voivodeship.
  • 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: Chocheno
Triple: [Chochenyo, hasAlternativeName, Chocheno]
Generated description
Chocheno is an alternative name for the Chochenyo language, a Native American Ohlone language historically spoken in the San Francisco Bay Area of California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chocheno
Target entity description: Chocheno is an alternative name for the Chochenyo language, a Native American Ohlone language historically spoken in the San Francisco Bay Area of California.
  • A. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • B. Chigorodó
    Chigorodó is a municipality in Colombia’s Antioquia Department, known for its agricultural production and location in the Urabá region.
  • C. Chichilianne
    Chichilianne is a small commune in southeastern France known for its scenic location at the foot of Mont Aiguille in the Vercors massif.
  • D. Chasu
    Chasu is a Bantu language spoken by the Pare people of northeastern Tanzania.
  • E. Sochocin
    Sochocin is a small town in east-central Poland, located in the Masovian Voivodeship.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064b21ac81908b793bdbd741bcd8 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffc94e48190844e226c245a9ce3 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1b27c5c8190b3b81cd10b11e973 completed May 9, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69fec24105a48190a698de2b380f4dbc completed May 9, 2026, 5:12 a.m.
Created at: April 10, 2026, 3:08 a.m.