Triple

T8690064
Position Surface form Disambiguated ID Type / Status
Subject Lumut E206262 entity
Predicate hasNearbyIsland P970 FINISHED
Object Pangkor Laut E668308 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: Pangkor Laut | Statement: [Lumut, hasNearbyIsland, Pangkor Laut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pangkor Laut
Context triple: [Lumut, hasNearbyIsland, Pangkor Laut]
  • A. Pangkor Island chosen
    Pangkor Island is a small resort island off the west coast of Peninsular Malaysia, known for its beaches, fishing villages, and laid-back holiday atmosphere.
  • B. Tanjung Perak
    Tanjung Perak is a major seaport in Surabaya, Indonesia, serving as one of the country’s principal maritime gateways for trade and passenger traffic.
  • C. 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.
  • D. Redang Island
    Redang Island is a popular Malaysian tropical island in the South China Sea, renowned for its white-sand beaches, clear turquoise waters, and vibrant coral reefs that attract snorkelers and divers.
  • E. Pasir Puteh
    Pasir Puteh is a coastal town and district in the Malaysian state of Kelantan, known for its fishing communities and agricultural activities.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5734602c81909a0687e00f4a4a26 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf515edd7481909d73c2991a71de0e completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:33 p.m.