Triple

T8681468
Position Surface form Disambiguated ID Type / Status
Subject Anak Bukit railway station E206047 entity
Predicate serves P98 FINISHED
Object Anak Bukit E206047 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: Anak Bukit | Statement: [Anak Bukit railway station, serves, Anak Bukit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anak Bukit
Context triple: [Anak Bukit railway station, serves, Anak Bukit]
  • A. Anak Bukit chosen
    Anak Bukit is a suburb of Alor Setar in the Malaysian state of Kedah, known primarily as the location of the Sultan of Kedah’s official residence.
  • B. Orang Seletar
    Orang Seletar are an indigenous Orang Asli sea people of southern Peninsular Malaysia and nearby Singapore, traditionally living as coastal and riverine fisher-foragers.
  • C. Parit Tinggi
    Parit Tinggi is a small town located within the Kuala Pilah District in the Malaysian state of Negeri Sembilan.
  • D. Biatah Bidayuh
    Biatah Bidayuh is an Austronesian language spoken by a subgroup of the Bidayuh people in Sarawak, Malaysia.
  • E. Kabu Kabu
    Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.