Triple

T19480091
Position Surface form Disambiguated ID Type / Status
Subject General Roca Department E487356 entity
Predicate hasTown P847 FINISHED
Object Catriel 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: Catriel | Statement: [General Roca Department, hasTown, Catriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catriel
Context triple: [General Roca Department, hasTown, Catriel]
  • A. Catriel chosen
    Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
  • B. Avelar
    Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
  • C. Cirocha
    Cirocha is a river in eastern Slovakia that flows through the Carpathian region before joining the Laborec River.
  • D. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • E. Morialta
    Morialta is an electoral district in the South Australian House of Assembly that covers parts of Adelaide’s eastern and northeastern suburbs and nearby hills communities.
  • 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_69e6343882a88190b3cfa65e6cac80d3 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.