Triple

T14636853
Position Surface form Disambiguated ID Type / Status
Subject the Clearing E343628 entity
Predicate audienceOfRituals P115149 FINISHED
Object formerly enslaved people 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: formerly enslaved people | Statement: [the Clearing, audienceOfRituals, formerly enslaved people]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audienceOfRituals
Context triple: [the Clearing, audienceOfRituals, formerly enslaved people]
  • A. ritualSpecialist
    Indicates that one entity serves as a designated expert or practitioner responsible for performing or overseeing rituals in relation to another entity or context.
  • B. ritualActivities
    Indicates that one entity engages in, performs, or is associated with ritualistic or ceremonial activities in relation to another entity or context.
  • C. languageUsedInRituals
    Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
  • D. ritualCategory
    Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
  • E. hasRituals
    Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
  • F. None of above. chosen

Provenance (4 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69de657359c88190b082e3e9f86fc1d7 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:26 a.m.