Triple

T8811256
Position Surface form Disambiguated ID Type / Status
Subject Philippine von Brandenburg-Schwedt E209666 entity
Predicate givenName P17 FINISHED
Object Philippine E651695 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: Philippine | Statement: [Philippine von Brandenburg-Schwedt, givenName, Philippine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippine
Context triple: [Philippine von Brandenburg-Schwedt, givenName, Philippine]
  • A. Philippine chosen
    Philippine is a feminine given name of French origin historically borne by European nobility and royalty.
  • B. PHILIPPINE
    PHILIPPINE is the radio callsign used by Philippine Airlines for its flight operations and air traffic communications.
  • C. Philippines
    The Philippines is a Southeast Asian archipelagic country in the western Pacific Ocean known for its diverse culture, colonial history, and thousands of islands.
  • D. República Filipina
    República Filipina refers to the First Philippine Republic, the revolutionary government established in 1899 as the first independent republic in Asia after Spanish colonial rule.
  • E. southern Philippines
    The southern Philippines is a region of the country that includes Mindanao and surrounding islands, known for its diverse cultures, rich natural resources, and ongoing socio-political challenges.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fed18f8819087b0282bf8c4208c completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf892b813481909739f72ffd080f49 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:45 p.m.