Triple

T1783222
Position Surface form Disambiguated ID Type / Status
Subject Pangkor Treaty of 1874 E39334 entity
Predicate signedAt P441 FINISHED
Object Pangkor Island E47879 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: Pangkor Island | Statement: [Pangkor Treaty of 1874, signedAt, Pangkor Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pangkor Island
Context triple: [Pangkor Treaty of 1874, signedAt, Pangkor Island]
  • A. Tanjung Perak
    Tanjung Perak is a major seaport in Surabaya, Indonesia, serving as one of the country’s principal maritime gateways for trade and passenger traffic.
  • B. Labuan
    Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
  • C. Labuan chosen
    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.
  • D. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • E. Ko Pha Ngan
    Ko Pha Ngan is a popular Thai island in the Gulf of Thailand, best known for its beaches, tropical scenery, and monthly Full Moon Party.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e4cf108190891338052b581ae8 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf52266081909b7478d76664d387 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.