Triple

T15334363
Position Surface form Disambiguated ID Type / Status
Subject Casma–Sechin culture E366623 entity
Predicate hasSite P1205 FINISHED
Object Moxeke
Moxeke is a major archaeological site in Peru associated with the ancient Casma–Sechin culture, notable for its monumental architecture and early complex society on the Pacific coast.
 E1152320 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: Moxeke | Statement: [Casma–Sechin culture, hasSite, Moxeke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moxeke
Context triple: [Casma–Sechin culture, hasSite, Moxeke]
  • A. Makuxi
    Makuxi is an indigenous people of northern Brazil and neighboring regions, known for their distinct language, culture, and traditional practices in the Amazonian savanna.
  • B. Motshegetsi
    Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
  • C. Mpongwe
    Mpongwe is a Bantu language variety spoken primarily in Gabon, recognized as one of the main dialects of the Myene language cluster.
  • D. Molefe
    Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
  • E. Mabasa
    Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
  • 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: Moxeke
Triple: [Casma–Sechin culture, hasSite, Moxeke]
Generated description
Moxeke is a major archaeological site in Peru associated with the ancient Casma–Sechin culture, notable for its monumental architecture and early complex society on the Pacific coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moxeke
Target entity description: Moxeke is a major archaeological site in Peru associated with the ancient Casma–Sechin culture, notable for its monumental architecture and early complex society on the Pacific coast.
  • A. Makuxi
    Makuxi is an indigenous people of northern Brazil and neighboring regions, known for their distinct language, culture, and traditional practices in the Amazonian savanna.
  • B. Motshegetsi
    Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
  • C. Mpongwe
    Mpongwe is a Bantu language variety spoken primarily in Gabon, recognized as one of the main dialects of the Myene language cluster.
  • D. Molefe
    Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
  • E. Mabasa
    Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ee7480819080133a9910a2bf52 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff05fbf6e481909727758ae2699bad completed May 9, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff06e098cc8190ab67143071bca1dc completed May 9, 2026, 10:05 a.m.
Created at: April 10, 2026, 3:17 a.m.