Triple

T7711273
Position Surface form Disambiguated ID Type / Status
Subject Warren Simmons E174758 entity
Predicate developed P73 FINISHED
Object Pier 39 E8179 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: Pier 39 | Statement: [Warren Simmons, developed, Pier 39]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier 39
Context triple: [Warren Simmons, developed, Pier 39]
  • A. Pier 39 chosen
    Pier 39 is a popular waterfront shopping, dining, and entertainment complex in San Francisco best known for its sea lions, bay views, and tourist attractions.
  • B. Pier 33
    Pier 33 is a waterfront terminal in San Francisco that serves as the primary departure point for ferry trips to Alcatraz Island.
  • C. Pier 50
    Pier 50 is one of the historic waterfront piers along San Francisco’s Embarcadero, used primarily for maritime and industrial purposes.
  • D. Pier 64
    Pier 64 is a recreational waterfront pier in Manhattan’s Hudson River Park, offering open green space, river views, and public amenities along the Hudson River.
  • E. Pier 59
    Pier 59 is a prominent Chelsea Piers facility in Manhattan best known as a major photography and fashion production studio complex and event space.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ae8b20819096930fe4be41b7be completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b505c7f88190ac058c1a27d758ca completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:04 p.m.