Triple

T1741358
Position Surface form Disambiguated ID Type / Status
Subject Castro District E38239 entity
Predicate hasStreet P959 FINISHED
Object Castro Street E198451 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: Castro Street | Statement: [Castro District, hasStreet, Castro Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castro Street
Context triple: [Castro District, hasStreet, Castro Street]
  • A. Castro Street chosen
    Castro Street is the vibrant downtown main street of Mountain View, California, known for its restaurants, shops, and community events.
  • B. Cuba Street
    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.
  • C. Tacuba Street
    Tacuba Street is a historic thoroughfare in Mexico City’s downtown, known for its colonial-era architecture, cultural landmarks, and role as one of the city’s oldest streets.
  • D. Vallejo Street
    Vallejo Street is a notable San Francisco street that runs through several neighborhoods, including the steep and scenic Russian Hill area.
  • E. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c5ab648190bceae2a19fa18e87 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf39b08881908d798b3eae51dbae completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:30 p.m.