Triple

T2237877
Position Surface form Disambiguated ID Type / Status
Subject Zamboanga Peninsula E49323 entity
Predicate languageSpoken P151 FINISHED
Object Cebuano E7565 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: Cebuano | Statement: [Zamboanga Peninsula, languageSpoken, Cebuano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cebuano
Context triple: [Zamboanga Peninsula, languageSpoken, Cebuano]
  • A. Cebuano language chosen
    The Cebuano language is an Austronesian language widely spoken in the southern Philippines, particularly in the Visayas and parts of Mindanao.
  • B. Binisaya
    Binisaya is a major Austronesian language of the Philippines, widely spoken in the Central Visayas and parts of Mindanao.
  • C. Tagalog
    Tagalog is an Austronesian language primarily spoken in the Philippines and serves as the basis for the country’s national language, Filipino.
  • D. Waray language
    Waray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly on Samar and nearby islands.
  • E. Hiligaynon language
    Hiligaynon is a major Austronesian language of the Philippines, widely spoken in Western Visayas and parts of Mindanao, particularly in and around Iloilo and Negros Occidental.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc096c7748190a545cc9b229bde62 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71bd294c8190b46fc4ad69cb7c37 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.