Triple

T9052042
Position Surface form Disambiguated ID Type / Status
Subject Unicode 3.0 E216905 entity
Predicate addsBlocks P62553 FINISHED
Object Tagbanwa E181002 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: Tagbanwa | Statement: [Unicode 3.0, addsBlocks, Tagbanwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagbanwa
Context triple: [Unicode 3.0, addsBlocks, Tagbanwa]
  • A. Tagbanwa chosen
    Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
  • B. Waiyana
    Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
  • C. Bambarra
    Bambarra is a small coastal village on Middle Caicos in the Turks and Caicos Islands, known for its historical links to African heritage and its tranquil, undeveloped beaches.
  • D. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • E. Maiana
    Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
  • 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_69cffdbd54848190ba79d873321f4fc9 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:10 p.m.