Triple

T3849263
Position Surface form Disambiguated ID Type / Status
Subject China–Pakistan Economic Corridor E85249 entity
Predicate estimatedLaterValueUSD P4259 FINISHED
Object 62000000000 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: 62000000000 | Statement: [China–Pakistan Economic Corridor, estimatedLaterValueUSD, 62000000000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedLaterValueUSD
Context triple: [China–Pakistan Economic Corridor, estimatedLaterValueUSD, 62000000000]
  • A. monetaryValue
    Indicates the amount of money associated with an entity, event, or transaction.
  • B. estimatedDevelopmentCostCurrency
    Indicates the currency in which the estimated development cost is expressed.
  • C. valueInPhilippinePeso
    Indicates the monetary value of something expressed in Philippine pesos as the unit of currency.
  • D. fineMinimumUSD
    Indicates the minimum monetary penalty amount, expressed in U.S. dollars, that applies in this context.
  • E. estimatedCost chosen
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcde86081908cf3840ae002acfa completed March 9, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69aee750377c8190af70c79768c0edd8 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.