Triple

T16676767
Position Surface form Disambiguated ID Type / Status
Subject Banga E405232 entity
Predicate hasPart P35 FINISHED
Object Amerigo E1214433 NE FINISHED

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: Amerigo | Statement: [Banga, hasPart, Amerigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amerigo
Context triple: [Banga, hasPart, Amerigo]
  • A. Amerigo chosen
    Amerigo is an Italian given name best known from the explorer Amerigo Vespucci, whose name inspired the term "America."
  • B. Vespucio Norte
    Vespucio Norte is a major metro station in Santiago, Chile, serving as a key northern terminal and transport hub in the city’s rail network.
  • C. Ameria
    Ameria is an ancient Umbrian town in central Italy, known today as Amelia, with significant archaeological and historical remains from pre-Roman and Roman times.
  • D. Américo
    Américo is a Portuguese given name commonly used for men, notably borne by figures such as former president Américo Tomás.
  • E. Vespucio Sur
    Vespucio Sur is a major urban highway in Santiago, Chile, forming part of the city’s beltway system and facilitating high-capacity traffic flow around the southern sector of the capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6b69cc8190b19632e1b4293569 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3c79888190b6ddd55b91d97183 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.