Triple

T19458244
Position Surface form Disambiguated ID Type / Status
Subject Cachan E486790 entity
Predicate demonym P191 FINISHED
Object Cachanais
Cachanais is the French term for inhabitants of the town of Cachan, located in the southern suburbs of Paris.
 E1376677 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: Cachanais | Statement: [Cachan, demonym, Cachanais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cachanais
Context triple: [Cachan, demonym, Cachanais]
  • A. Cahitan
    Cahitan is a branch of the Uto-Aztecan language family that includes closely related indigenous languages once spoken in northwestern Mexico, notably by the Yaqui and Mayo peoples.
  • B. Cachagua
    Cachagua is a small coastal town in central Chile known for its beaches, upscale vacation homes, and tranquil seaside atmosphere.
  • C. Castanhal
    Castanhal is a significant urban and commercial center in the northeastern part of the Brazilian state of Pará.
  • D. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • E. Cannetan
    A Cannetan is a resident or native of Le Cannet, a commune in the Alpes-Maritimes department of southeastern France.
  • 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: Cachanais
Triple: [Cachan, demonym, Cachanais]
Generated description
Cachanais is the French term for inhabitants of the town of Cachan, located in the southern suburbs of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cachanais
Target entity description: Cachanais is the French term for inhabitants of the town of Cachan, located in the southern suburbs of Paris.
  • A. Cahitan
    Cahitan is a branch of the Uto-Aztecan language family that includes closely related indigenous languages once spoken in northwestern Mexico, notably by the Yaqui and Mayo peoples.
  • B. Cachagua
    Cachagua is a small coastal town in central Chile known for its beaches, upscale vacation homes, and tranquil seaside atmosphere.
  • C. Castanhal
    Castanhal is a significant urban and commercial center in the northeastern part of the Brazilian state of Pará.
  • D. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • E. Cannetan
    A Cannetan is a resident or native of Le Cannet, a commune in the Alpes-Maritimes department of southeastern France.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c569a081908b5a71226345a929 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b386590819087632ce0b7375c58 completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073c61707081909c25daa85176cdf4 completed May 15, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a073cd498788190bc1d725aeff54c07 completed May 15, 2026, 3:33 p.m.
Created at: April 10, 2026, 1:38 p.m.