Triple

T36705131
Position Surface form Disambiguated ID Type / Status
Subject Maya E906335 entity
Predicate hasNearbySeaActivity P202270 FINISHED
Object island-hopping tours 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: island-hopping tours | Statement: [Maya, hasNearbySeaActivity, island-hopping tours]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbySeaActivity
Context triple: [Maya, hasNearbySeaActivity, island-hopping tours]
  • A. hasBeachActivity
    Indicates that an entity engages in, offers, or is associated with recreational activities that take place on a beach.
  • B. hasNearbyCoast
    Indicates that one location is situated close to a coastline or seashore.
  • C. hasNearbyMarineFeature
    Indicates that one entity is located close to a marine geographic feature associated with the other entity.
  • D. hasIslandNearby
    Indicates that one location is situated close to an island in geographic space.
  • E. hasShoreNear
    Indicates that one entity is located close enough to another entity’s shore or coastline to be considered nearby.
  • F. None of above. chosen

Provenance (4 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_69f76e7195c48190b5580c9cfb01e95f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a00694f72888190983fee7d687a6daa completed May 10, 2026, 11:17 a.m.
PD Predicate disambiguation batch_6a00685dbf44819098ea0c86bb9e50d8 completed May 10, 2026, 11:13 a.m.
PDg Predicate description generation batch_6a00694e9e008190b7c941d2f7527dff completed May 10, 2026, 11:17 a.m.
Created at: May 3, 2026, 4:12 p.m.