Triple

T988121
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Peninsula E21323 entity
Predicate hasCity P316 FINISHED
Object Pacifica
Pacifica is a coastal city in Northern California known for its scenic beaches, rugged bluffs, and popular surfing spots just south of San Francisco.
 E144489 NE FINISHED

How this triple was built (4 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: Pacifica | Statement: [San Francisco Peninsula, hasCity, Pacifica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pacifica
Context triple: [San Francisco Peninsula, hasCity, Pacifica]
  • A. PACIFIC
    PACIFIC is the airline callsign used in radio communications to identify Fiji Airways flights.
  • B. The Pacific
    The Pacific is a World War II television miniseries that chronicles the experiences of U.S. Marines fighting in the Pacific Theater.
  • C. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • D. Coral Sea
    The Coral Sea is a marginal sea off the northeast coast of Australia, renowned for its clear waters, rich marine biodiversity, and the Great Barrier Reef.
  • E. Central Pacific Ocean
    The Central Pacific Ocean is the vast mid-Pacific region encompassing numerous remote islands and atolls that served as a major theater of naval and amphibious operations during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pacifica
Triple: [San Francisco Peninsula, hasCity, Pacifica]
Generated description
Pacifica is a coastal city in Northern California known for its scenic beaches, rugged bluffs, and popular surfing spots just south of San Francisco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pacifica
Target entity description: Pacifica is a coastal city in Northern California known for its scenic beaches, rugged bluffs, and popular surfing spots just south of San Francisco.
  • A. PACIFIC
    PACIFIC is the airline callsign used in radio communications to identify Fiji Airways flights.
  • B. The Pacific
    The Pacific is a World War II television miniseries that chronicles the experiences of U.S. Marines fighting in the Pacific Theater.
  • C. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • D. Coral Sea
    The Coral Sea is a marginal sea off the northeast coast of Australia, renowned for its clear waters, rich marine biodiversity, and the Great Barrier Reef.
  • E. Central Pacific Ocean
    The Central Pacific Ocean is the vast mid-Pacific region encompassing numerous remote islands and atolls that served as a major theater of naval and amphibious operations during World War II.
  • F. None of above. chosen

Provenance (5 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a89a58819081a24b5b0a12f122 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9968ff4c81909e8e454b7e1e9137 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9a04f5f88190922a49ad5c83d794 completed March 7, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac9a793e7081908374e1a8e9fe3137 completed March 7, 2026, 9:36 p.m.
Created at: March 1, 2026, 7:41 p.m.