Triple

T1973563
Position Surface form Disambiguated ID Type / Status
Subject Lapis Niger E42853 entity
Predicate debatedIdentification P13304 FINISHED
Object royal memorial 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: royal memorial | Statement: [Lapis Niger, debatedIdentification, royal memorial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: debatedIdentification
Context triple: [Lapis Niger, debatedIdentification, royal memorial]
  • A. hasDisputedIdentityWith chosen
    Indicates that two entities are associated with conflicting, uncertain, or contested identifications, such that their true or correct identities are in dispute relative to each other.
  • B. debatedAt
    Indicates that a debate or formal discussion involving the subject took place at the specified location or event.
  • C. debatedAsCauseOf
    Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
  • D. disputedAspect
    Indicates that a particular feature, detail, or component of something is subject to disagreement or contention between parties.
  • E. contestedBy
    Indicates that one party challenges, disputes, or opposes a claim, decision, or position held by another party.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f477988190b0165fc46b1cccfd completed March 7, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69abaff7d4a48190ab0d51aefb1c4e31 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.