Triple

T22045289
Position Surface form Disambiguated ID Type / Status
Subject Flag of Indonesia E544744 entity
Predicate nickname P55 FINISHED
Object Merah Putih NE NERFINISHED

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: Merah Putih | Statement: [Flag of Indonesia, nickname, Merah Putih]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merah Putih
Context triple: [Flag of Indonesia, nickname, Merah Putih]
  • A. Flag of Indonesia chosen
    The Flag of Indonesia is a simple horizontal bicolor of red over white that serves as the national flag and symbol of the Republic of Indonesia.
  • B. Senyera
    The Senyera is the traditional red-and-gold striped flag that serves as the historic and national symbol of Catalonia and other Catalan-speaking regions.
  • C. Pambansang Watawat
    Pambansang Watawat is the Filipino term for the national flag of the Philippines, a symbol of the country's independence, history, and national identity.
  • D. Tricolor
    Tricolor is a popular nickname for Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
  • E. Tricolor Flag
    The Tricolor Flag is the national flag of Thailand, featuring horizontal stripes of red, white, and blue symbolizing the nation, religion, and monarchy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282e647481908e054b3ad19e2c15 completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:26 p.m.