Triple

T199309
Position Surface form Disambiguated ID Type / Status
Subject Egyptian pound E4066 entity
Predicate historicalSubunitToUnit P8012 FINISHED
Object 1000 milliemes 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: 1000 milliemes | Statement: [Egyptian pound, historicalSubunitToUnit, 1000 milliemes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalSubunitToUnit
Context triple: [Egyptian pound, historicalSubunitToUnit, 1000 milliemes]
  • A. centralToDenomination
    Indicates that something is a core or defining element within a particular religious denomination.
  • B. historicalForm
    Indicates that one entity is an earlier or historically attested form or variant of another entity.
  • C. historicallyBorneBy
    Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
  • D. historicallyRecognizedAs
    Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
  • E. formerCurrency
    Indicates that an entity was once used as a currency in a place or time period but is no longer in official use.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bcc6dc88190b8c24b485588dfe4 completed Feb. 28, 2026, 3:06 a.m.
PD Predicate disambiguation batch_69a25b4886b48190b46fd2244648a098 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25bc6ba208190aa8bec59d32f95fd completed Feb. 28, 2026, 3:06 a.m.
Created at: Feb. 28, 2026, 2:44 a.m.