Triple

T16460826
Position Surface form Disambiguated ID Type / Status
Subject Nueva Segovia Department E399800 entity
Predicate hasMajorCity P316 FINISHED
Object Dipilto
Dipilto is a small Nicaraguan town in the mountainous Nueva Segovia region, known for its cool climate, coffee production, and location near the border with Honduras.
 E1214901 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: Dipilto | Statement: [Nueva Segovia Department, hasMajorCity, Dipilto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dipilto
Context triple: [Nueva Segovia Department, hasMajorCity, Dipilto]
  • A. Dipico
    Dipico is a surname of likely African origin, notably borne by South African politician Manne Dipico.
  • B. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • C. Tupiza
    Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
  • D. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • E. Dipoto
    Dipoto is the surname of Jerry Dipoto, a former Major League Baseball pitcher and current baseball executive.
  • 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: Dipilto
Triple: [Nueva Segovia Department, hasMajorCity, Dipilto]
Generated description
Dipilto is a small Nicaraguan town in the mountainous Nueva Segovia region, known for its cool climate, coffee production, and location near the border with Honduras.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dipilto
Target entity description: Dipilto is a small Nicaraguan town in the mountainous Nueva Segovia region, known for its cool climate, coffee production, and location near the border with Honduras.
  • A. Dipico
    Dipico is a surname of likely African origin, notably borne by South African politician Manne Dipico.
  • B. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • C. Tupiza
    Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
  • D. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • E. Dipoto
    Dipoto is the surname of Jerry Dipoto, a former Major League Baseball pitcher and current baseball executive.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f53aff081909a75de6672f15f0e completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050a0f5b081908417c6062b1f50cc completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a00517b7b1c819098118fdbe03eb010 completed May 10, 2026, 9:35 a.m.
Created at: April 10, 2026, 5:10 a.m.