Triple

T455266
Position Surface form Disambiguated ID Type / Status
Subject International Clearing Union E7218 entity
Predicate settlementBasis P6447 FINISHED
Object multilateral clearing rather than bilateral settlement 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: multilateral clearing rather than bilateral settlement | Statement: [International Clearing Union, settlementBasis, multilateral clearing rather than bilateral settlement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: settlementBasis
Context triple: [International Clearing Union, settlementBasis, multilateral clearing rather than bilateral settlement]
  • A. settlementType
    Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
  • B. settlementPattern
    Indicates how human dwellings or communities are spatially arranged and distributed across a geographic area.
  • C. calculationBasis chosen
    Indicates the rule, method, or reference standard used as the foundation for performing a calculation in the relationship.
  • D. servesSettlement
    Indicates that one entity provides services or support to a particular settlement or community.
  • E. settlementSystem
    Indicates a relationship where a settlement is organized, governed, or structured according to a particular administrative or territorial system.
  • F. None of above.

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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef9f772c8190863399c5ee1378fe completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a2ede4de008190b5a6c159e741522e completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.