Triple

T33118262
Position Surface form Disambiguated ID Type / Status
Subject Dame Vaako E847516 entity
Predicate rankWithinNecromongers P37057 FINISHED
Object high-ranking noblewoman 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: high-ranking noblewoman | Statement: [Dame Vaako, rankWithinNecromongers, high-ranking noblewoman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankWithinNecromongers
Context triple: [Dame Vaako, rankWithinNecromongers, high-ranking noblewoman]
  • A. necropolisRole
    Indicates that an entity has a specific functional or social role in relation to a necropolis (a large cemetery or burial ground).
  • B. rankAmongGods
    Indicates how a being’s status or position compares relative to other gods within a divine hierarchy.
  • C. hasRankAtDeath
    Indicates the rank or position an entity held at the time of its death.
  • D. chronRank
    Indicates the relative chronological order or ranking of events or time-related entities with respect to one another.
  • E. rankTier chosen
    Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
  • 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_69f3495751a081909850af5843da40dc completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d716bb348190afff2f576d238e06 completed May 3, 2026, 5:03 a.m.
PD Predicate disambiguation batch_69f6d27224708190b31a541cebe0ff77 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:27 a.m.