Triple

T6427556
Position Surface form Disambiguated ID Type / Status
Subject Mochica language E128096 entity
Predicate alternativeName P39 FINISHED
Object Muchik
Muchik is an extinct indigenous language once spoken by the Mochica people along Peru’s northern coast.
 E592983 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: Muchik | Statement: [Mochica language, alternativeName, Muchik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muchik
Context triple: [Mochica language, alternativeName, Muchik]
  • A. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • B. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • E. Mukō
    Mukō is a city in Kyoto Prefecture, Japan, known for its residential character and proximity to the Kyoto metropolitan 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: Muchik
Triple: [Mochica language, alternativeName, Muchik]
Generated description
Muchik is an extinct indigenous language once spoken by the Mochica people along Peru’s northern coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muchik
Target entity description: Muchik is an extinct indigenous language once spoken by the Mochica people along Peru’s northern coast.
  • A. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • B. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • E. Mukō
    Mukō is a city in Kyoto Prefecture, Japan, known for its residential character and proximity to the Kyoto metropolitan 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06920cef48190a884df8f12987a0d completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640e339108190bbb74c688de574cc completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c644a514f48190832bd628a071be46 completed March 27, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69c64527d1f88190b3b6f9a455f4ffce completed March 27, 2026, 8:51 a.m.
Created at: March 22, 2026, 4:44 p.m.