Triple

T3249620
Position Surface form Disambiguated ID Type / Status
Subject Local color writing E68143 entity
Predicate hasCriticalDebate P8604 FINISHED
Object tension between authenticity and exoticism 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: tension between authenticity and exoticism | Statement: [Local color writing, hasCriticalDebate, tension between authenticity and exoticism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCriticalDebate
Context triple: [Local color writing, hasCriticalDebate, tension between authenticity and exoticism]
  • A. hasDebate chosen
    Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
  • B. hasLongTermDebateOn
    Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
  • C. hasDebatedStatus
    Indicates that an entity has participated in or been assigned a particular status related to a debate or debating activity.
  • D. hasDebatedScope
    Indicates that there is an ongoing or unresolved discussion about the extent, boundaries, or applicability of the relationship or action in question.
  • E. hasPoliticalDialogue
    Indicates that there is an exchange or interaction between entities involving political topics, issues, or negotiations.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
PD Predicate disambiguation batch_69ada41837e48190933572165be0ca38 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:09 p.m.