Triple

T8782513
Position Surface form Disambiguated ID Type / Status
Subject Tampin District E208764 entity
Predicate hasCapital P204 FINISHED
Object Tampin E742024 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 | Statement: [Tampin District, hasCapital, Tampin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampin
Context triple: [Tampin District, hasCapital, Tampin]
  • A. Tampin chosen
    Tampin is a town and district capital in the state of Negeri Sembilan, Malaysia, located near the border with Melaka and known as a local commercial and transport hub.
  • B. Townsville
    Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
  • C. Townsville
    Townsville is the fictional, crime-ridden yet colorful city that serves as the primary backdrop for the adventures of The Powerpuff Girls.
  • D. Wasilla
    Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
  • E. Tushingham
    Tushingham is an English surname most notably associated with Rita Tushingham, a celebrated British actress known for her roles in 1960s cinema.
  • 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_69cf51e9d97c8190a947848fdaa5b67d completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.