Triple

T13096472
Position Surface form Disambiguated ID Type / Status
Subject Sipadan Island E310601 entity
Predicate nearestTown P350 FINISHED
Object Semporna E984007 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: Semporna | Statement: [Sipadan Island, nearestTown, Semporna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semporna
Context triple: [Sipadan Island, nearestTown, Semporna]
  • A. Semporna chosen
    Semporna is a coastal town in Sabah, Malaysia, renowned as a gateway to world-class dive sites and marine parks such as Sipadan and Mabul.
  • B. Pulau Bako
    Pulau Bako is one of the small islands within Indonesia’s Riung 17 Islands Marine Park, known for its coastal scenery and marine biodiversity.
  • C. Tanjung Malim
    Tanjung Malim is a town in Perak, Malaysia, known as a regional transport hub and gateway between the states of Perak and Selangor.
  • D. Pulau Labuan
    Pulau Labuan is a Malaysian island and federal territory off the coast of Borneo, known as an offshore financial center and duty-free port.
  • E. Kuala Klawang
    Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d619b82c819093d0d98db88eb9ae completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.