Triple

T6670131
Position Surface form Disambiguated ID Type / Status
Subject HTG E151704 entity
Predicate currencySubunitToUnit P32424 FINISHED
Object 100 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: 100 | Statement: [HTG, currencySubunitToUnit, 100]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currencySubunitToUnit
Context triple: [HTG, currencySubunitToUnit, 100]
  • A. currencySubunitOf
    Indicates that a monetary subunit (such as cents) is a fractional unit belonging to and defined in terms of a larger base currency.
  • B. officialCurrencySubunitOf chosen
    Indicates that one unit represents the official fractional subunit (e.g., cents to a dollar) of a specified currency.
  • C. ISO4217MinorUnit
    Indicates the number of decimal places (minor currency units) used to represent amounts in the currency defined by the ISO 4217 standard.
  • D. currencyProject
    Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
  • E. currencyType
    Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:02 p.m.