Triple

T511617
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Carnap E10621 entity
Predicate deathPlace P21 FINISHED
Object Santa Monica, California E19657 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: Santa Monica, California | Statement: [Rudolf Carnap, deathPlace, Santa Monica, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Monica, California
Context triple: [Rudolf Carnap, deathPlace, Santa Monica, California]
  • A. Santa Monica, California, United States chosen
    Santa Monica, California, United States is a coastal city in western Los Angeles County known for its iconic pier, beaches, and role as a popular tourist and entertainment destination.
  • B. Long Beach
    Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
  • C. West Hollywood
    West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
  • D. Oxnard, California
    Oxnard, California is a coastal city in Ventura County known for its agriculture, beaches, and role as a gateway to the Channel Islands.
  • E. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f16768c081909d05537ff070868b completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac65f5fa54819087f7d08cdaa5e5ea completed March 7, 2026, 5:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.