Triple

T2717499
Position Surface form Disambiguated ID Type / Status
Subject Peru Time E60001 entity
Predicate usedInCity P4810 FINISHED
Object Tumbes
Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
 E305434 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: Tumbes | Statement: [Peru Time, usedInCity, Tumbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tumbes
Context triple: [Peru Time, usedInCity, Tumbes]
  • A. Piura
    Piura is a major city in northwestern Peru known for its colonial architecture, warm climate, and role as a commercial and agricultural hub near the Pacific coast.
  • B. Ayacucho
    Ayacucho is a historic city and region in the Peruvian Andes, best known as the site of the decisive 1824 battle that secured Peru’s independence from Spanish rule.
  • C. Pucallpa
    Pucallpa is a major city in eastern Peru, located in the Amazon rainforest along the Ucayali River and serving as an important regional commercial and transportation hub.
  • D. Chimbote
    Chimbote is a coastal city in north-central Peru known for its fishing industry and port on the Pacific Ocean.
  • E. Puno
    Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
  • 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: Tumbes
Triple: [Peru Time, usedInCity, Tumbes]
Generated description
Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tumbes
Target entity description: Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
  • A. Piura
    Piura is a major city in northwestern Peru known for its colonial architecture, warm climate, and role as a commercial and agricultural hub near the Pacific coast.
  • B. Ayacucho
    Ayacucho is a historic city and region in the Peruvian Andes, best known as the site of the decisive 1824 battle that secured Peru’s independence from Spanish rule.
  • C. Pucallpa
    Pucallpa is a major city in eastern Peru, located in the Amazon rainforest along the Ucayali River and serving as an important regional commercial and transportation hub.
  • D. Chimbote
    Chimbote is a coastal city in north-central Peru known for its fishing industry and port on the Pacific Ocean.
  • E. Puno
    Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
  • 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_69b01d466d6481908ca5952db369c9f3 completed March 10, 2026, 1:31 p.m.
NEDg Description generation batch_69b01def4f408190a0fcdba125b642bc completed March 10, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69b01e75d3c4819097fd86902eccd8c4 completed March 10, 2026, 1:36 p.m.
Created at: March 6, 2026, 9:55 p.m.