Triple

T6800168
Position Surface form Disambiguated ID Type / Status
Subject maravedí E156162 entity
Predicate scriptOnEarlyCoins P20456 FINISHED
Object Arabic inscriptions 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: Arabic inscriptions | Statement: [maravedí, scriptOnEarlyCoins, Arabic inscriptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptOnEarlyCoins
Context triple: [maravedí, scriptOnEarlyCoins, Arabic inscriptions]
  • A. scriptUsedOnCoins chosen
    Indicates that a particular writing system or script is used on the inscriptions appearing on coins.
  • B. openedForCoinage
    Indicates that a facility, system, or process has been made available or activated specifically for the production or issuance of coinage.
  • C. hasScriptOnBanknotes
    Indicates that a currency’s banknotes contain written or printed script on them.
  • D. rarelyUsedCoins
    Indicates that the coins in question are infrequently or almost never used in transactions or everyday circulation.
  • E. coinagePower
    Indicates the authority or capacity of an entity to create, issue, or regulate currency or coinage.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e457408190a0ad9b0c48d8147c completed March 27, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69c6d099bf08819089a9f9894d037e74 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:15 p.m.