Triple

T12641750
Position Surface form Disambiguated ID Type / Status
Subject Tawau E301912 entity
Predicate connectedByRoadTo P11435 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: [Tawau, connectedByRoadTo, Semporna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semporna
Context triple: [Tawau, connectedByRoadTo, 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614ae6ac8190b42acbf2b0331fda completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687770388190b4777885dae8a38f completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:17 p.m.