Triple

T18858460
Position Surface form Disambiguated ID Type / Status
Subject Porto Real E461240 entity
Predicate borderedBy P224 FINISHED
Object Quatis NE NERFINISHED

How this triple was built (2 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: [Porto Real, borderedBy, Quatis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quatis
Context triple: [Porto Real, borderedBy, Quatis]
  • A. Quatis chosen
    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.
  • B. 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.
  • C. Kogon
    Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
  • D. Luxilus
    Luxilus is a genus of North American freshwater minnows in the family Leuciscidae, commonly found in streams and rivers.
  • E. Quälix
    Quälix is the notorious nickname of German football coach Felix Magath, referencing his extremely hard and demanding training methods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05eaee881909da704cf1374158c completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.