Triple

T14427599
Position Surface form Disambiguated ID Type / Status
Subject Jebe E357735 entity
Predicate alsoKnownAs P39 FINISHED
Object Chepe
Chepe is a masculine given name and nickname, commonly used in Spanish-speaking regions as a familiar form of names like José.
 E1099894 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: Chepe | Statement: [Jebe, alsoKnownAs, Chepe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chepe
Context triple: [Jebe, alsoKnownAs, Chepe]
  • A. Chepe
    Chepe is a scenic Mexican passenger train service that runs through the Copper Canyon region in the state of Chihuahua.
  • B. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • C. Choachí
    Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • D. Cajidiocan
    Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • E. Cahuapana
    Cahuapana is an indigenous language of the Cahuapanan family spoken in the Peruvian Amazon.
  • 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: Chepe
Triple: [Jebe, alsoKnownAs, Chepe]
Generated description
Chepe is a masculine given name and nickname, commonly used in Spanish-speaking regions as a familiar form of names like José.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chepe
Target entity description: Chepe is a masculine given name and nickname, commonly used in Spanish-speaking regions as a familiar form of names like José.
  • A. Chepe
    Chepe is a scenic Mexican passenger train service that runs through the Copper Canyon region in the state of Chihuahua.
  • B. Chacala
    Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
  • C. Choachí
    Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
  • D. Cajidiocan
    Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • E. Cahuapana
    Cahuapana is an indigenous language of the Cahuapanan family spoken in the Peruvian Amazon.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de911398f08190be85bc0a8bef6b1b completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcfa1d88190b59cefd3e305f55f completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d6af9ac8190a37f11b0f8a1db0f completed May 8, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd5df48f7481909764bc4e23c0b04a completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:18 a.m.