Triple

T2717497
Position Surface form Disambiguated ID Type / Status
Subject Peru Time E60001 entity
Predicate usedInCity P4810 FINISHED
Object Tarapoto
Tarapoto is a city in northern Peru known as a gateway to the Amazon rainforest and a regional hub for tourism and commerce.
E295056 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: Tarapoto | Statement: [Peru Time, usedInCity, Tarapoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarapoto
Context triple: [Peru Time, usedInCity, Tarapoto]
  • A. Tucupita
    Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
  • B. Babahoyo
    Babahoyo is a city in western Ecuador that serves as the capital of Los Ríos Province and an important agricultural and commercial center.
  • C. Ataypura
    "Ataypura" is a traditional Peruvian song best known internationally through Yma Sumac’s iconic vocal performance, showcasing Andean melodies and extraordinary vocal range.
  • D. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • E. Tocancipá
    Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to 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: Tarapoto
Triple: [Peru Time, usedInCity, Tarapoto]
Generated description
Tarapoto is a city in northern Peru known as a gateway to the Amazon rainforest and a regional hub for tourism and commerce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tarapoto
Target entity description: Tarapoto is a city in northern Peru known as a gateway to the Amazon rainforest and a regional hub for tourism and commerce.
  • A. Tucupita
    Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
  • B. Babahoyo
    Babahoyo is a city in western Ecuador that serves as the capital of Los Ríos Province and an important agricultural and commercial center.
  • C. Ataypura
    "Ataypura" is a traditional Peruvian song best known internationally through Yma Sumac’s iconic vocal performance, showcasing Andean melodies and extraordinary vocal range.
  • D. Soacha
    Soacha is a rapidly growing industrial and residential city in central Colombia, located just southwest of Bogotá in the department of Cundinamarca.
  • E. Tocancipá
    Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaad577c8190819d3c641c2406f4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbbe621881909e153290394798d6 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc67c39c8190b5932c0e23595f64 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd2d8a2c8190896a9154ebbd8bab completed March 10, 2026, 6:41 a.m.
Created at: March 6, 2026, 9:55 p.m.