Triple

T14171450
Position Surface form Disambiguated ID Type / Status
Subject BPS-18 E351216 entity
Predicate typicalPositionsInclude P113097 FINISHED
Object senior professional posts LITERAL 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: senior professional posts | Statement: [BPS-18, typicalPositionsInclude, senior professional posts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalPositionsInclude
Context triple: [BPS-18, typicalPositionsInclude, senior professional posts]
  • A. recognizedPositions
    Indicates that certain positions, roles, or locations have been formally identified, acknowledged, or accepted within a given context.
  • B. typicalBalancingPositions
    Indicates the standard or commonly used positions in which elements are arranged or adjusted to achieve balance or equilibrium in a given context.
  • C. positionIncluded
    Indicates that one position or spatial region is entirely contained within another position or spatial region.
  • D. hasPositionsFor
    Indicates that one entity offers or contains available roles, jobs, or positions for another entity.
  • E. traditionalPositions
    Indicates that one entity holds or is associated with customary or historically established roles, stances, or arrangements in relation to another entity.
  • F. None of above. chosen

Provenance (4 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239a02e881909b0e2679487e4ab2 completed April 14, 2026, 11:23 a.m.
Created at: April 10, 2026, 1:01 a.m.