Triple

T13195516
Position Surface form Disambiguated ID Type / Status
Subject Guantánamo Province E314100 entity
Predicate contains P35 FINISHED
Object Yateras
Yateras is a municipality in eastern Cuba known for its rural communities and mountainous landscapes within Guantánamo Province.
E1026234 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: Yateras | Statement: [Guantánamo Province, contains, Yateras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yateras
Context triple: [Guantánamo Province, contains, Yateras]
  • A. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • B. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • C. Yamaka
    Yamaka is a canonical text in the Theravāda Abhidhamma that analyzes doctrinal concepts through paired questions and answers to clarify subtle distinctions in Buddhist philosophy.
  • D. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • E. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • 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: Yateras
Triple: [Guantánamo Province, contains, Yateras]
Generated description
Yateras is a municipality in eastern Cuba known for its rural communities and mountainous landscapes within Guantánamo Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yateras
Target entity description: Yateras is a municipality in eastern Cuba known for its rural communities and mountainous landscapes within Guantánamo Province.
  • A. Kaiten
    Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
  • B. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • C. Yamaka
    Yamaka is a canonical text in the Theravāda Abhidhamma that analyzes doctrinal concepts through paired questions and answers to clarify subtle distinctions in Buddhist philosophy.
  • D. Teyuna
    Teyuna is the indigenous name for Colombia’s ancient pre-Hispanic city commonly known as Ciudad Perdida, a major archaeological site of the Tayrona civilization in the Sierra Nevada de Santa Marta.
  • E. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f605a48c81909373fcd9dd896b3d completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f6e10f2481909b405169dd7e5cf9 completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f73b301881909d792dfebd2e468f completed May 3, 2026, 7:20 a.m.
Created at: April 9, 2026, 9:16 p.m.