Triple

T8782525
Position Surface form Disambiguated ID Type / Status
Subject Tampin District E208764 entity
Predicate hasName P744 FINISHED
Object Tampin District E208764 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: Tampin District | Statement: [Tampin District, hasName, Tampin District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampin District
Context triple: [Tampin District, hasName, Tampin District]
  • A. Tampin District chosen
    Tampin District is an administrative district in the Malaysian state of Negeri Sembilan, known for its border location adjacent to Malacca and Johor.
  • B. Kuala Pilah District
    Kuala Pilah District is an inland administrative district in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and rural landscapes.
  • C. Seremban District
    Seremban District is an administrative district in the Malaysian state of Negeri Sembilan that includes the state capital, Seremban, as its main urban center.
  • D. Johor Bahru District
    Johor Bahru District is an administrative district in the state of Johor, Malaysia, encompassing the city of Johor Bahru and its surrounding areas.
  • E. Klang District
    Klang District is an administrative district in the state of Selangor, Malaysia, centered on the historic royal town and major port city of Klang.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7155b081908891e84b704f0ebf completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab596ef88190b538d15b0d71e176 completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:42 p.m.