Triple

T7461135
Position Surface form Disambiguated ID Type / Status
Subject Series EE savings bond E176250 entity
Predicate minimumElectronicPurchase P41112 FINISHED
Object $25 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: $25 | Statement: [Series EE savings bond, minimumElectronicPurchase, $25]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumElectronicPurchase
Context triple: [Series EE savings bond, minimumElectronicPurchase, $25]
  • A. fineMinimumUSD
    Indicates the minimum monetary penalty amount, expressed in U.S. dollars, that applies in this context.
  • B. categoryMinimum chosen
    Indicates the smallest or lowest permissible value, amount, or level defined within a given category or classification.
  • C. setsMinimumAgeForPurchase
    Indicates that an entity establishes the lowest allowable age at which another entity is permitted to make a purchase.
  • D. minimumPayoutThreshold
    Indicates the lowest payout amount or value that must be reached before a payment or disbursement is triggered.
  • E. canBePurchasedWith
    Indicates that one entity is able to be bought or acquired using another entity as the form of payment.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d6cf8c8190a31cac121d151d78 completed March 27, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69c6f03bad9c8190bdd5abb86d37df47 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:38 p.m.