Triple

T9052040
Position Surface form Disambiguated ID Type / Status
Subject Unicode 3.0 E216905 entity
Predicate addsBlocks P62553 FINISHED
Object Hanunoo E174383 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: Hanunoo | Statement: [Unicode 3.0, addsBlocks, Hanunoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanunoo
Context triple: [Unicode 3.0, addsBlocks, Hanunoo]
  • A. Hanunoo chosen
    Hanunoo is an indigenous Philippine script traditionally used by the Hanunó'o Mangyan people of Mindoro to write their Austronesian language.
  • B. Pangarang
    Pangarang is an alternative name for the Bangerang, an Aboriginal Australian people traditionally associated with regions of northern Victoria and southern New South Wales.
  • C. Punakapina
    Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
  • D. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • E. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a700de48190aa9f61d850e01cbd completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebd1450c819092dccae2c48b100d completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.