Triple

T21183500
Position Surface form Disambiguated ID Type / Status
Subject Papan Island E522011 entity
Predicate hasNearbyCity P350 FINISHED
Object Labuan town NE NERFINISHED

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: Labuan town | Statement: [Papan Island, hasNearbyCity, Labuan town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labuan town
Context triple: [Papan Island, hasNearbyCity, Labuan town]
  • A. Labuan chosen
    Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
  • B. Labuan
    Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
  • C. Tuaran
    Tuaran is a coastal town and district in the Malaysian state of Sabah, known for its ethnically diverse communities, traditional markets, and distinctive local cuisine such as Tuaran noodles.
  • D. Tanjung Pandan town
    Tanjung Pandan town is the main urban center and gateway on Belitung Island in Indonesia, known for its proximity to scenic beaches and granite rock formations.
  • E. Kota Belud
    Kota Belud is a town and district in Sabah, Malaysia, known for its vibrant Bajau culture, weekly tamu (market), and scenic coastal and rural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301f7f1c81908686866fdee57127 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:05 p.m.