Triple

T11340512
Position Surface form Disambiguated ID Type / Status
Subject Tenggol Island E268581 entity
Predicate nearestMainlandTown P3883 FINISHED
Object Dungun E823109 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: Dungun | Statement: [Tenggol Island, nearestMainlandTown, Dungun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dungun
Context triple: [Tenggol Island, nearestMainlandTown, Dungun]
  • A. Dungun chosen
    Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
  • B. 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.
  • C. Dengkil
    Dengkil is a town in the Sepang District of Selangor, Malaysia, known for its proximity to Putrajaya and Kuala Lumpur International Airport.
  • D. Ratekau
    Ratekau is a municipality in the district of Ostholstein in Schleswig-Holstein, northern Germany, near the Baltic Sea coast.
  • E. Teluk Intan
    Teluk Intan is a historic riverside town in the Malaysian state of Perak, known for its iconic leaning clock tower and colonial-era architecture.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5434f04388190813e8beb1b5af55a completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.