Triple

T1853070
Position Surface form Disambiguated ID Type / Status
Subject Kelantan E41638 entity
Predicate hasPort P35 FINISHED
Object Tumpat E207469 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: Tumpat | Statement: [Kelantan, hasPort, Tumpat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumpat
Context triple: [Kelantan, hasPort, Tumpat]
  • A. Tumpat chosen
    Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
  • B. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • C. Pekat
    Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • D. Tumpa
    Tumpa is a song featured on the album "Legend of the Sun Virgin."
  • E. Tamambo
    Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06999f4819086386aafb789a368 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf4bda58819088adab01ca10254f completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:33 p.m.