Triple

T37129980
Position Surface form Disambiguated ID Type / Status
Subject Southern Islands of Singapore E919490 entity
Predicate containsResortIsland P25904 FINISHED
Object Sentosa NE NERFINISHED

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: Sentosa | Statement: [Southern Islands of Singapore, containsResortIsland, Sentosa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsResortIsland
Context triple: [Southern Islands of Singapore, containsResortIsland, Sentosa]
  • A. isResortDestinationFor
    Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
  • B. isResortOf
    Indicates that a location or facility functions as a resort associated with, belonging to, or serving a particular entity (such as a city, region, or organization).
  • C. containsResortArea chosen
    Indicates that one location or region includes within its boundaries a designated resort area.
  • D. isResortTown
    Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
  • E. isResortCityOn
    Indicates that a city, characterized as a resort destination, is located on or directly adjacent to a specified geographic feature (such as a coast, lake, or mountain range).
  • 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_69f76e9d13e48190a108f7fbf80ff375 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a0174e8b5b481908bf0c6d3d5b0f3b6 completed May 11, 2026, 6:19 a.m.
PD Predicate disambiguation batch_6a01748d65248190ac3d9adfa9d0b274 completed May 11, 2026, 6:17 a.m.
Created at: May 3, 2026, 4:15 p.m.