Triple

T14772458
Position Surface form Disambiguated ID Type / Status
Subject Seattle landmarks E347167 entity
Predicate hasPart P35 FINISHED
Object Alki Beach E516485 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: Alki Beach | Statement: [Seattle landmarks, hasPart, Alki Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alki Beach
Context triple: [Seattle landmarks, hasPart, Alki Beach]
  • A. Alki Beach chosen
    Alki Beach is a popular waterfront park and sandy beach in West Seattle known for its scenic views of the downtown Seattle skyline and Elliott Bay.
  • B. Seacliff State Beach
    Seacliff State Beach is a popular California state beach known for its long sandy shoreline and the historic concrete ship SS Palo Alto at the end of its fishing pier.
  • C. Montara State Beach
    Montara State Beach is a scenic sandy beach on the San Mateo County coast of California, popular for coastal views, surfing, and hiking along the Pacific Ocean.
  • D. Baker Beach
    Baker Beach is a popular public beach in San Francisco, California, known for its scenic views of the Golden Gate Bridge and the Marin Headlands.
  • E. Cabrillo Beach
    Cabrillo Beach is a popular coastal recreation area in San Pedro, California, known for its sandy shoreline, tide pools, and proximity to the Port of Los Angeles.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cfabdfc8190ae7ee06b11f9b540 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.