Triple

T1384956
Position Surface form Disambiguated ID Type / Status
Subject Luzon Strait E29822 entity
Predicate adjacentTo P224 FINISHED
Object Batanes Province E144042 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: Batanes Province | Statement: [Luzon Strait, adjacentTo, Batanes Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batanes Province
Context triple: [Luzon Strait, adjacentTo, Batanes Province]
  • A. Batanes Islands chosen
    The Batanes Islands are a remote archipelago in the northern Philippines known for their rugged landscapes, stone houses, and unique Ivatan culture.
  • 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. Bantayan Island
    Bantayan Island is a scenic island in the central Philippines known for its white-sand beaches, clear waters, and laid-back coastal villages.
  • D. Capiz
    Capiz is a province in the Western Visayas region of the Philippines, known for its coastal landscapes, seafood, and use of the Hiligaynon language.
  • E. Zambales
    Zambales is a coastal province in the Central Luzon region of the Philippines, known for its beaches, mangoes, and ethnolinguistic diversity.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33896548190b44f70c9aaaed9b6 completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1f08e08190871fd9d539e902c8 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.