Triple

T12050229
Position Surface form Disambiguated ID Type / Status
Subject Line 4–Yellow E286895 entity
Predicate hasStation P35 FINISHED
Object República E142415 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: República | Statement: [Line 4–Yellow, hasStation, República]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: República
Context triple: [Line 4–Yellow, hasStation, República]
  • A. República chosen
    República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
  • B. République
    République is a major public square and busy transport hub in central Paris, known for its large statue of Marianne and frequent political gatherings.
  • C. Natalia Republic
    The Natalia Republic was a short-lived 19th-century Boer republic in southeastern Africa established by Voortrekker settlers before being annexed by the British.
  • D. Republic of the United States of Brazil
    The Republic of the United States of Brazil was the federal republican regime that succeeded the Brazilian monarchy in 1889 and governed Brazil through much of the 20th century.
  • E. La Union
    La Union is a coastal province in the Ilocos Region of the Philippines known for its Ilocano heritage, surfing beaches, and emerging tourism industry.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.