Triple

T3305698
Position Surface form Disambiguated ID Type / Status
Subject Richmond, California E69443 entity
Predicate hasPart P35 FINISHED
Object Point Richmond E239765 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: Point Richmond | Statement: [Richmond, California, hasPart, Point Richmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Richmond
Context triple: [Richmond, California, hasPart, Point Richmond]
  • A. Point Richmond chosen
    Point Richmond is a historic waterfront neighborhood in Richmond, California, known for its small-town charm, Victorian architecture, and views of the San Francisco Bay.
  • B. Hunters Point
    Hunters Point is a waterfront neighborhood in Long Island City, Queens, known for its rapid residential development, skyline views of Manhattan, and a mix of industrial heritage and modern high-rises.
  • C. Mission Bay
    Mission Bay is a major University of California, San Francisco campus and research hub in San Francisco known for its focus on biomedical sciences and biotechnology.
  • D. Mission Bay
    Mission Bay is a coastal recreational area in San Diego known for its large aquatic park, beaches, and water sports.
  • E. San Rafael
    San Rafael is a major city in Argentina’s Mendoza Province, known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c9470881908c36c1984fdbb67b completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e6e55881909417d54e0d8f0a26 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.