Triple

T12432861
Position Surface form Disambiguated ID Type / Status
Subject Moho Province E297074 entity
Predicate capital P234 FINISHED
Object Moho
Moho is a town in southern Peru that serves as an administrative and commercial center on the Altiplano near Lake Titicaca.
 E981003 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: Moho | Statement: [Moho Province, capital, Moho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moho
Context triple: [Moho Province, capital, Moho]
  • A. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • B. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • C. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • D. Mioveni
    Mioveni is a Romanian town in Argeș County best known as the site of the Dacia automobile manufacturing plant and related industrial facilities.
  • E. Mihos
    Mihos is an ancient Egyptian lion-headed god associated with war and protection, venerated as a son of the feline goddess Bastet.
  • 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: Moho
Triple: [Moho Province, capital, Moho]
Generated description
Moho is a town in southern Peru that serves as an administrative and commercial center on the Altiplano near Lake Titicaca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moho
Target entity description: Moho is a town in southern Peru that serves as an administrative and commercial center on the Altiplano near Lake Titicaca.
  • A. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • B. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • C. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • D. Mioveni
    Mioveni is a Romanian town in Argeș County best known as the site of the Dacia automobile manufacturing plant and related industrial facilities.
  • E. Mihos
    Mihos is an ancient Egyptian lion-headed god associated with war and protection, venerated as a son of the feline goddess Bastet.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7f2fd08190ab959742dbd8f9c0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349d29c481909a37fd386cc06575 completed May 2, 2026, 5:30 p.m.
NEDg Description generation batch_69f635c3782c8190ad9a1f7e3aa9748a completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: April 8, 2026, 9:55 p.m.