Triple

T11502287
Position Surface form Disambiguated ID Type / Status
Subject Bronx County E272690 entity
Predicate contains P35 FINISHED
Object Morrisania E646147 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: Morrisania | Statement: [Bronx County, contains, Morrisania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morrisania
Context triple: [Bronx County, contains, Morrisania]
  • A. Morrisania chosen
    Morrisania is a residential neighborhood in the South Bronx of New York City known for its historic role in the borough’s development and its predominantly working-class, diverse community.
  • B. Guamá
    Guamá was a Taíno chieftain in Cuba who led one of the earliest recorded indigenous resistance movements against Spanish colonial rule in the early 16th century.
  • C. Monzambano
    Monzambano is a small Italian town in the Lombardy region, known for its scenic location near the Mincio River and its historic medieval center.
  • D. Coamo
    Coamo is a historic inland municipality in south-central Puerto Rico, known for its natural hot springs and agricultural traditions.
  • E. Montleban
    Montleban is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de55cbc8190be71c2d03dc044f2 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.