Triple

T1301536
Position Surface form Disambiguated ID Type / Status
Subject Pieter Both E27773 entity
Predicate employer P7 FINISHED
Object VOC E3954 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: VOC | Statement: [Pieter Both, employer, VOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOC
Context triple: [Pieter Both, employer, VOC]
  • A. VOC chosen
    VOC is the abbreviation for the Dutch East India Company, a powerful 17th-century trading corporation that dominated European-Asian maritime trade and helped shape early global capitalism.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. Vuse
    Vuse is an electronic cigarette and vaping product brand owned by British American Tobacco, known for its range of nicotine e-liquids and devices.
  • D. VACO
    VACO is the commonly used abbreviation for the U.S. Department of Veterans Affairs Central Office, its national headquarters in Washington, D.C.
  • E. VOPB
    VOPB is the ICAO airport code for Veer Savarkar International Airport serving Port Blair in the Andaman and Nicobar Islands of India.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1145c2481908adf22dfd6ce349b completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30292dc8190a33fd62c997c3f1b completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.