Triple

T17325381
Position Surface form Disambiguated ID Type / Status
Subject La Matanza Partido E420673 entity
Predicate seat P75 FINISHED
Object San Justo 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: San Justo | Statement: [La Matanza Partido, seat, San Justo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Justo
Context triple: [La Matanza Partido, seat, San Justo]
  • A. San Justo chosen
    San Justo is a city in the Buenos Aires Province of Argentina, forming part of the Greater Buenos Aires metropolitan area.
  • B. Tandil
    Tandil is a mid-sized city in central Argentina known for its scenic hilly landscapes, stone formations, and tourism-focused outdoor activities.
  • C. San Julián de los Prados
    San Julián de los Prados is a pre-Romanesque medieval church in Oviedo, Spain, renowned for its well-preserved early Christian architecture and frescoes.
  • D. Río Cuarto
    Río Cuarto is a major city in central Argentina known as an important commercial, agricultural, and educational hub within Córdoba Province.
  • E. San Julián
    San Julián is a coastal town in Argentina’s Santa Cruz Province, known historically as a landing site of Ferdinand Magellan’s 1520 expedition.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d24e548190a766dd246a4d63d4 completed April 19, 2026, 2:11 a.m.
Created at: April 10, 2026, 5:43 a.m.