Triple

T17878817
Position Surface form Disambiguated ID Type / Status
Subject Te Aro E447026 entity
Predicate contains P35 FINISHED
Object Cuba Street 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: Cuba Street | Statement: [Te Aro, contains, Cuba Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuba Street
Context triple: [Te Aro, contains, Cuba Street]
  • A. Cuba Street chosen
    Cuba Street is a vibrant, historic pedestrian precinct in central Wellington, New Zealand, known for its cafes, street art, alternative culture, and the iconic Bucket Fountain.
  • B. Castro Street
    Castro Street is a prominent thoroughfare in San Francisco’s Castro District, known as a historic center of LGBTQ+ culture and activism.
  • C. Castro Street
    Castro Street is the vibrant downtown main street of Mountain View, California, known for its restaurants, shops, and community events.
  • D. Paca Street
    Paca Street is a major north–south thoroughfare in downtown Baltimore, Maryland, running past key civic and historic sites.
  • E. Chile Street
    Chile Street is a notable thoroughfare in Quito, Ecuador’s historic center, running alongside the city’s main square, Plaza Grande.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c0c46108190b8edef2572b5ba90 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.