Triple

T7901230
Position Surface form Disambiguated ID Type / Status
Subject Yakan E183456 entity
Predicate spokenIn P2266 FINISHED
Object Basilan E465025 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: Basilan | Statement: [Yakan, spokenIn, Basilan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basilan
Context triple: [Yakan, spokenIn, Basilan]
  • A. Basilan chosen
    Basilan is an island province in the southern Philippines known for its predominantly Muslim population, strategic location in the Sulu Archipelago, and history of both cultural diversity and security challenges.
  • B. Maguindanao
    Maguindanao is a province in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines, known for its predominantly Muslim population and rich Maguindanaon culture.
  • C. Zamboanga Sibugay
    Zamboanga Sibugay is a province in the southern Philippines located on the Zamboanga Peninsula in the island of Mindanao.
  • D. Maguindanaon
    The Maguindanaon are a Muslim ethnolinguistic group in the southern Philippines, primarily inhabiting the Cotabato region of Mindanao and known for their rich sultanate history and vibrant cultural traditions.
  • E. Zamboanga del Norte
    Zamboanga del Norte is a province in the Philippines known for its coastal landscapes, diverse cultures, and the city of Dipolog as its capital.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3f4c2c81909ae70b0acf4729be completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc935fac3081908d70cf29b90cfcff completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:02 p.m.