Triple

T4082570
Position Surface form Disambiguated ID Type / Status
Subject Montgomery Street E87509 entity
Predicate terminusNear P1866 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: [Montgomery Street, terminusNear, The Embarcadero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Embarcadero
Context triple: [Montgomery Street, terminusNear, 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc77dab481909bcf197daf2def59 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a83aaabc81908a204008ebe292b2 completed March 14, 2026, 6:26 p.m.
Created at: March 9, 2026, 3:39 p.m.