Triple

T10543404
Position Surface form Disambiguated ID Type / Status
Subject Região Sul Fluminense E248752 entity
Predicate majorCity P316 FINISHED
Object Quatis
Quatis is a small municipality in the state of Rio de Janeiro, Brazil, known for its location in the Sul Fluminense region and its predominantly rural character.
 E871379 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: Quatis | Statement: [Região Sul Fluminense, majorCity, Quatis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quatis
Context triple: [Região Sul Fluminense, majorCity, Quatis]
  • A. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • B. Luxilus
    Luxilus is a genus of North American freshwater minnows in the family Leuciscidae, commonly found in streams and rivers.
  • C. Quinet
    Quinet was a notable philhellene recognized for his support of Greek independence and culture.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Qontigo
    Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
  • 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: Quatis
Triple: [Região Sul Fluminense, majorCity, Quatis]
Generated description
Quatis is a small municipality in the state of Rio de Janeiro, Brazil, known for its location in the Sul Fluminense region and its predominantly rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quatis
Target entity description: Quatis is a small municipality in the state of Rio de Janeiro, Brazil, known for its location in the Sul Fluminense region and its predominantly rural character.
  • A. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • B. Luxilus
    Luxilus is a genus of North American freshwater minnows in the family Leuciscidae, commonly found in streams and rivers.
  • C. Quinet
    Quinet was a notable philhellene recognized for his support of Greek independence and culture.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Qontigo
    Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d51911b10481909e6e548879e8de36 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9342e6cf48190b0ca53ff2a4e0214 completed April 10, 2026, 5:32 p.m.
NEDg Description generation batch_69d938c697f481908a93296ee7f82eae completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d940176c988190b7583ce9f2c21898 completed April 10, 2026, 6:23 p.m.
Created at: April 6, 2026, 12:32 p.m.