Triple

T1350819
Position Surface form Disambiguated ID Type / Status
Subject Mayan languages E28875 entity
Predicate includesLanguage P2177 FINISHED
Object Sipakapense
Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
E160347 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: Sipakapense | Statement: [Mayan languages, includesLanguage, Sipakapense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sipakapense
Context triple: [Mayan languages, includesLanguage, Sipakapense]
  • A. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • B. Los Vilos
    Los Vilos is a coastal Chilean city and commune known for its beaches, fishing activities, and role as a local tourism and transport hub in the Coquimbo Region.
  • C. Sipán
    Sipán is an important archaeological site in northern Peru renowned for its richly furnished Moche tombs, including that of the Lord of Sipán.
  • D. Moche Valley
    The Moche Valley is a fertile coastal river valley in northern Peru known as the heartland of the ancient Moche civilization and its monumental adobe pyramids.
  • E. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • 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: Sipakapense
Triple: [Mayan languages, includesLanguage, Sipakapense]
Generated description
Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sipakapense
Target entity description: Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • A. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • B. Los Vilos
    Los Vilos is a coastal Chilean city and commune known for its beaches, fishing activities, and role as a local tourism and transport hub in the Coquimbo Region.
  • C. Sipán
    Sipán is an important archaeological site in northern Peru renowned for its richly furnished Moche tombs, including that of the Lord of Sipán.
  • D. Moche Valley
    The Moche Valley is a fertile coastal river valley in northern Peru known as the heartland of the ancient Moche civilization and its monumental adobe pyramids.
  • E. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26981d081909ca3b8d8cdf7cf2e completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1555048190b73c1616d1979b08 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdee073fc819098c906d91870b317 completed March 8, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ace0a7ddc08190a44be1707587351b completed March 8, 2026, 2:36 a.m.
Created at: March 1, 2026, 7:56 p.m.