Triple

T1994393
Position Surface form Disambiguated ID Type / Status
Subject Habana Vieja E43324 entity
Predicate contains P35 FINISHED
Object Obispo Street E231893 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: Obispo Street | Statement: [Habana Vieja, contains, Obispo Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obispo Street
Context triple: [Habana Vieja, contains, Obispo Street]
  • A. Obispo Street chosen
    Obispo Street is one of Old Havana’s main historic thoroughfares, known for its colonial architecture, lively shops, and cultural landmarks.
  • B. Alameda Street
    Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
  • C. Market Street
    Market Street is a major thoroughfare in San Francisco that serves as the city’s primary downtown artery and commercial spine, running through areas including the Financial District.
  • D. Market Street
    Market Street is a major east–west thoroughfare in Philadelphia known for its commercial activity, transit connections, and role as a central artery of the city.
  • E. Market Street
    Market Street is a major shopping thoroughfare in Manchester city centre, known for its busy pedestrian zone and high street retail stores.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8640f30819080322bddb85881f1 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea84704a08190ac2ddf0370587f14 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:37 p.m.