Triple

T4187922
Position Surface form Disambiguated ID Type / Status
Subject Ancash Region E88357 entity
Predicate contains P35 FINISHED
Object Casma
Casma is a coastal city and agricultural hub in northern Peru known for its nearby pre-Columbian archaeological sites such as Sechín and Chankillo.
 E419611 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: Casma | Statement: [Ancash Region, contains, Casma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Casma
Context triple: [Ancash Region, contains, Casma]
  • A. Pichasca
    Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
  • B. Achacachi
    Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
  • C. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • D. Alausí
    Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
  • E. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • 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: Casma
Triple: [Ancash Region, contains, Casma]
Generated description
Casma is a coastal city and agricultural hub in northern Peru known for its nearby pre-Columbian archaeological sites such as Sechín and Chankillo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Casma
Target entity description: Casma is a coastal city and agricultural hub in northern Peru known for its nearby pre-Columbian archaeological sites such as Sechín and Chankillo.
  • A. Pichasca
    Pichasca is a small settlement in Chile known for its proximity to the Hurtado River and the surrounding Andean landscapes.
  • B. Achacachi
    Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
  • C. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • D. Alausí
    Alausí is a historic town in Ecuador known for its dramatic Andean setting and the famous Nariz del Diablo (Devil’s Nose) railway.
  • E. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0325a82c8190849d8a828e2c7b44 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a034f6481909a3126d8832f7821 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58abc256c8190ad37c8d213b8f11e completed March 14, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69b58b41916c81909eb2e5ab482a5fe1 completed March 14, 2026, 4:22 p.m.
Created at: March 9, 2026, 3:45 p.m.