Triple

T10173205
Position Surface form Disambiguated ID Type / Status
Subject Kuala Pilah E235783 entity
Predicate hasNearbyTown P3883 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: [Kuala Pilah, hasNearbyTown, Tampin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tampin
Context triple: [Kuala Pilah, hasNearbyTown, 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. Tuni
    Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
  • E. 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.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9f6dd8819081588600499165ee completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3010c386481908bc0c985c0b5ff93 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.