Triple

T8104290
Position Surface form Disambiguated ID Type / Status
Subject Mindoro E189188 entity
Predicate separatedFrom P243 FINISHED
Object Palawan E190594 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: Palawan | Statement: [Mindoro, separatedFrom, Palawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palawan
Context triple: [Mindoro, separatedFrom, Palawan]
  • A. Palawan chosen
    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.
  • B. 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.
  • C. Tawi-Tawi
    Tawi-Tawi is the Philippines’ southernmost island province, known for its predominantly Muslim population, rich maritime culture, and proximity to Malaysia and Indonesia.
  • D. Romblon
    Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42c0ce6481909887be82c8019383 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0218a3888190a0b224cf93a511de completed April 2, 2026, 5:43 a.m.
Created at: March 30, 2026, 5:31 p.m.