Triple

T4306576
Position Surface form Disambiguated ID Type / Status
Subject Ferry Building E99968 entity
Predicate locatedOn P40 FINISHED
Object The Embarcadero E75933 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: The Embarcadero | Statement: [Ferry Building, locatedOn, The Embarcadero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Embarcadero
Context triple: [Ferry Building, locatedOn, The Embarcadero]
  • A. The Embarcadero chosen
    The Embarcadero is a major waterfront roadway and promenade in San Francisco known for its piers, views of the bay, and access to landmarks like the Ferry Building.
  • B. Kearny Street
    Kearny Street is a major historic thoroughfare in San Francisco that runs through downtown and Chinatown, lined with shops, offices, and cultural landmarks.
  • C. Alameda Street
    Alameda Street is a major north–south thoroughfare in Los Angeles, California, running through downtown and several industrial and commercial districts.
  • D. Monroe Street
    Monroe Street is a major east–west thoroughfare in downtown Chicago, Illinois, running through the city’s central business and cultural districts.
  • E. Van Ness
    Van Ness is a residential and commercial neighborhood in Northwest Washington, D.C., known for its embassies, apartment buildings, and the University of the District of Columbia campus.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350bb78cc8190a850aca47d8711cf completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d07aede08190bbabc6a7b5a7dfb6 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:09 p.m.