Triple

T12447830
Position Surface form Disambiguated ID Type / Status
Subject My Country E297447 entity
Predicate hasOriginalTitle P38 FINISHED
Object Negaraku E61563 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: Negaraku | Statement: [My Country, hasOriginalTitle, Negaraku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Negaraku
Context triple: [My Country, hasOriginalTitle, Negaraku]
  • A. Negaraku chosen
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • B. Huwara
    Huwara is a Palestinian town in the central West Bank, located south of Nablus along a major north–south roadway and often noted as a flashpoint in the Israeli–Palestinian conflict.
  • C. Tagaeri
    The Tagaeri are an uncontacted Indigenous group living in voluntary isolation in the Ecuadorian Amazon, known for resisting outside contact and encroachment on their territory.
  • D. Kashira
    Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
  • E. Modogashe
    Modogashe is a small, remote town in northeastern Kenya known as a local trading and transit center in a semi-arid pastoral region.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9f4dd08190b1d62b03d68cc8a6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.