Triple

T11786490
Position Surface form Disambiguated ID Type / Status
Subject State of Espírito Santo E280282 entity
Predicate hasCity P316 FINISHED
Object Piúma
Piúma is a small coastal city in southeastern Brazil known for its beaches, fishing activities, and shellcraft handicrafts.
E952784 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: Piúma | Statement: [State of Espírito Santo, hasCity, Piúma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piúma
Context triple: [State of Espírito Santo, hasCity, Piúma]
  • A. Somass River
    The Somass River is a river on Vancouver Island in British Columbia, Canada, known for flowing through the Alberni Valley to the city of Port Alberni and supporting important salmon runs.
  • B. Pi River
    The Pi River is a regional waterway flowing through Huaibei in Anhui Province, eastern China.
  • C. Velho Chico
    Velho Chico is a Brazilian telenovela that explores family conflicts, political power struggles, and environmental issues along the São Francisco River.
  • D. Carbon River
    Carbon River is a glacially fed river in Washington State known for its milky waters, lush temperate rainforest valley, and access to the northwest side of Mount Rainier.
  • E. Ishi River
    The Ishi River is a Japanese river that serves as one of the tributaries feeding into the larger Yamato River system.
  • 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: Piúma
Triple: [State of Espírito Santo, hasCity, Piúma]
Generated description
Piúma is a small coastal city in southeastern Brazil known for its beaches, fishing activities, and shellcraft handicrafts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piúma
Target entity description: Piúma is a small coastal city in southeastern Brazil known for its beaches, fishing activities, and shellcraft handicrafts.
  • A. Somass River
    The Somass River is a river on Vancouver Island in British Columbia, Canada, known for flowing through the Alberni Valley to the city of Port Alberni and supporting important salmon runs.
  • B. Pi River
    The Pi River is a regional waterway flowing through Huaibei in Anhui Province, eastern China.
  • C. Velho Chico
    Velho Chico is a Brazilian telenovela that explores family conflicts, political power struggles, and environmental issues along the São Francisco River.
  • D. Carbon River
    Carbon River is a glacially fed river in Washington State known for its milky waters, lush temperate rainforest valley, and access to the northwest side of Mount Rainier.
  • E. Ishi River
    The Ishi River is a Japanese river that serves as one of the tributaries feeding into the larger Yamato River system.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417604a7c819097a601880b88ea6a completed May 1, 2026, 3 a.m.
NEDg Description generation batch_69f41f16f43c81909f5d36e8b4b0b9c3 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4225a4b5c8190958aaddbd10035b1 completed May 1, 2026, 3:47 a.m.
Created at: April 8, 2026, 9:42 p.m.