Triple

T266850
Position Surface form Disambiguated ID Type / Status
Subject VPOTUS E5748 entity
Predicate abbreviation P43 FINISHED
Object V.P. E34410 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: V.P. | Statement: [VPOTUS, abbreviation, V.P.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: V.P.
Context triple: [VPOTUS, abbreviation, V.P.]
  • A. VP chosen
    VP is a common abbreviation for the Vice President of the United States, the second-highest executive officer in the U.S. federal government and first in the presidential line of succession.
  • B. PV
    PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
  • C. VP&S
    VP&S is the commonly used abbreviation for Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
  • D. Pol
    Pol is a given name and variant of Paul, used in several European languages such as Catalan and French.
  • E. Chair V
    Chair V is one of the designated seats or positions within the Royal Spanish Academy, traditionally occupied by a distinguished member responsible for contributing to the institution’s work on the Spanish language.
  • 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dacf60c8190a5c3ef455b9a8b20 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8e36b481909f9a039236e663df completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.