Triple

T14762978
Position Surface form Disambiguated ID Type / Status
Subject Pisco Province E346917 entity
Predicate hasCoastline P1896 FINISHED
Object Pacific Ocean E547 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: Pacific Ocean | Statement: [Pisco Province, hasCoastline, Pacific Ocean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pacific Ocean
Context triple: [Pisco Province, hasCoastline, Pacific Ocean]
  • A. Pacific Ocean chosen
    The Pacific Ocean is the largest and deepest ocean on Earth, spanning from the Arctic in the north to the Southern Ocean and from Asia and Australia to the Americas.
  • B. Pacífico
    Pacífico is a Madrid Metro station serving as an interchange between lines 1 and 6 in the Retiro district of Spain's capital.
  • C. Pacific
    Pacific is a type of steam locomotive wheel arrangement, typically featuring a 4-6-2 configuration widely used for express passenger services.
  • D. The Pacific
    The Pacific is a World War II television miniseries that chronicles the experiences of U.S. Marines fighting in the Pacific Theater.
  • E. Indo-Pacific Ocean
    The Indo-Pacific Ocean is a vast marine region encompassing the tropical and subtropical waters of the Indian and western Pacific Oceans, renowned for its exceptional biodiversity and extensive coral reef systems.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24a996708190834733bfc669c3d3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.