Triple

T12513972
Position Surface form Disambiguated ID Type / Status
Subject Type 2 Indian Princess gold dollar E299150 entity
Predicate collectingInterest P51039 FINISHED
Object high among U.S. gold coin collectors 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: high among U.S. gold coin collectors | Statement: [Type 2 Indian Princess gold dollar, collectingInterest, high among U.S. gold coin collectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collectingInterest
Context triple: [Type 2 Indian Princess gold dollar, collectingInterest, high among U.S. gold coin collectors]
  • A. collectorInterest chosen
    Indicates that one entity has a special interest in acquiring, owning, or seeking out another entity as part of a collection.
  • B. interestType
    Indicates the specific category or nature of interest that one entity has in relation to another or to a subject.
  • C. balancesInterest
    Indicates that an entity manages or adjusts multiple interests or priorities so that none is disproportionately favored over the others.
  • D. interestRateName
    Indicates the specific label or designation used to identify a particular interest rate.
  • E. representsInterestOf
    Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69d954096af88190b6be81b008c82139 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.