Triple

T19489413
Position Surface form Disambiguated ID Type / Status
Subject Roca Department E487606 entity
Predicate hasSettlement P1068 FINISHED
Object Villa Regina 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: Villa Regina | Statement: [Roca Department, hasSettlement, Villa Regina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa Regina
Context triple: [Roca Department, hasSettlement, Villa Regina]
  • A. Villa Regina chosen
    Villa Regina is a city in Argentina’s Río Negro Province, known as an important agricultural and fruit-growing center in the Alto Valle region.
  • B. Villa Victoria
    Villa Victoria is a municipality in the State of Mexico known for its rural landscapes, reservoirs, and agricultural communities west of Mexico City.
  • C. Villa Santina
    Villa Santina is a small municipality in the Carnia region of northeastern Italy, known for its Alpine setting and traditional Friulian culture.
  • D. Villa San Giovanni
    Villa San Giovanni is a coastal town in Calabria, southern Italy, best known as a major ferry port linking the Italian mainland with the island of Sicily across the Strait of Messina.
  • E. Villa Elisa
    Villa Elisa is a suburban city in Paraguay known for its residential character and proximity to the capital, Asunción.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348ad4088190b530f47efca90165 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.