Triple

T982580
Position Surface form Disambiguated ID Type / Status
Subject Devils Den (nearby) E21201 entity
Predicate interpretation P4529 FINISHED
Object marked with historical tablets and markers 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: marked with historical tablets and markers | Statement: [Devils Den (nearby), interpretation, marked with historical tablets and markers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: interpretation
Context triple: [Devils Den (nearby), interpretation, marked with historical tablets and markers]
  • A. interpretiveStatus
    Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
  • B. interpretedInCase
    Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
  • C. requiresInterpretationInLightOf
    Indicates that something must be understood, evaluated, or applied by considering it in the context or framework provided by another thing.
  • D. interpretedAs chosen
    Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
  • E. representation
    Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b49284ac8190b1d7c828d728893c completed March 1, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69a4b2aa219081908a6b0ef786b4aa52 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.