Triple

T11973565
Position Surface form Disambiguated ID Type / Status
Subject Rimavská Sobota E284979 entity
Predicate hasFirstWrittenRecord P28519 FINISHED
Object 13th century 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: 13th century | Statement: [Rimavská Sobota, hasFirstWrittenRecord, 13th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFirstWrittenRecord
Context triple: [Rimavská Sobota, hasFirstWrittenRecord, 13th century]
  • A. hasFirstDocumentedUse chosen
    Indicates that one entity is the earliest known or recorded instance in which the other entity was used or attested.
  • B. hasFirstTerm
    Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
  • C. hasWrittenNumberOneHit
    Indicates that an entity has created or authored a work (such as a song or piece of music) that has reached the number one position on an official chart or ranking.
  • D. hasFirstHolder
    Indicates that an entity is associated with the earliest or original holder (e.g., owner, position-bearer, or title-holder) of something.
  • E. hasFirstRecipient
    Indicates that an entity is the initial or primary recipient of something (such as a message, award, or transfer) in a sequence or set of recipients.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d8bb40f30c8190a0e0719bd67542bf completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:46 p.m.