Triple

T24278176
Position Surface form Disambiguated ID Type / Status
Subject Ko Nang Yuan E605466 entity
Predicate waterActivityCondition P106010 FINISHED
Object good visibility for snorkeling LITERAL 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: good visibility for snorkeling | Statement: [Ko Nang Yuan, waterActivityCondition, good visibility for snorkeling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterActivityCondition
Context triple: [Ko Nang Yuan, waterActivityCondition, good visibility for snorkeling]
  • A. hasWaterActivity
    Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
  • B. hasWaterRelatedActivity chosen
    Indicates that an entity engages in, offers, or is associated with an activity involving water (e.g., swimming, boating, or other water-based actions).
  • C. hasPrimaryWaterRelatedActivity
    Indicates that an entity’s main or most significant activity is directly related to water (e.g., its use, management, treatment, or impact).
  • D. waterExposure
    Indicates that one entity is subjected to contact with water from another source or environment.
  • E. waterPresence
    Indicates the existence or amount of water present in or around a specified entity or location.
  • F. None of above.

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_69e2954707dc8190915551eb114cfff6 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28d60a454819093b46556966640ab completed April 29, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69f1c457a2908190993824395b3c365d completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:07 a.m.