Triple

T9206546
Position Surface form Disambiguated ID Type / Status
Subject Sama people E220994 entity
Predicate primaryRegions P9666 FINISHED
Object Tawi-Tawi E458384 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: Tawi-Tawi | Statement: [Sama people, primaryRegions, Tawi-Tawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tawi-Tawi
Context triple: [Sama people, primaryRegions, Tawi-Tawi]
  • A. Tawi-Tawi chosen
    Tawi-Tawi is the Philippines’ southernmost island province, known for its predominantly Muslim population, rich maritime culture, and proximity to Malaysia and Indonesia.
  • B. Romblon
    Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
  • C. Palawan
    Palawan is a large island province in the western Philippines known for its stunning limestone cliffs, clear turquoise waters, rich marine biodiversity, and popular ecotourism destinations like El Nido and Puerto Princesa.
  • D. Yap State
    Yap State is one of the four constituent states of the Federated States of Micronesia, known for its traditional stone money and rich Micronesian cultural heritage.
  • E. Dinagat Islands
    Dinagat Islands is a province in the Caraga region of the Philippines known for its rugged coastline, rich marine biodiversity, and relatively remote, less-developed island communities.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077808ee48190be6b58a4b38f3e3d completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:26 p.m.