Triple

T10534438
Position Surface form Disambiguated ID Type / Status
Subject Maya lowlands E248526 entity
Predicate contains P35 FINISHED
Object Coba
Coba is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and one of the tallest pyramids in the region.
 E868668 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: Coba | Statement: [Maya lowlands, contains, Coba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coba
Context triple: [Maya lowlands, contains, Coba]
  • A. Coba
    Coba is a Dutch feminine given name, typically used as a diminutive or short form of Jacoba.
  • B. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • C. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • D. Goba
    Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
  • E. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • 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: Coba
Triple: [Maya lowlands, contains, Coba]
Generated description
Coba is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and one of the tallest pyramids in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coba
Target entity description: Coba is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and one of the tallest pyramids in the region.
  • A. Coba
    Coba is a Dutch feminine given name, typically used as a diminutive or short form of Jacoba.
  • B. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • C. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • D. Goba
    Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
  • E. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a1a754c8190b53f2df28a1dfef1 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e507b408190ae3538d02536ef4c completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d91233a5d081908a8c9f6a3177f40e completed April 10, 2026, 3:07 p.m.
NED2 Entity disambiguation (via description) batch_69d912d18d2081909a6ebce1af1fb96a completed April 10, 2026, 3:10 p.m.
Created at: April 6, 2026, 12:31 p.m.