Triple

T4268983
Position Surface form Disambiguated ID Type / Status
Subject Daughter of the Dragon E96892 entity
Predicate hasPreCodeStatus P55093 FINISHED
Object yes 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: yes | Statement: [Daughter of the Dragon, hasPreCodeStatus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPreCodeStatus
Context triple: [Daughter of the Dragon, hasPreCodeStatus, yes]
  • A. hasProgramCode
    Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
  • B. hasFormerCode
    Indicates that an entity was previously identified or referenced by an earlier code that is no longer current.
  • C. hasCodeIn
    Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
  • D. hasPrecedentialStatus
    Indicates that one legal decision or authority possesses a recognized level of precedential force or binding effect relative to others.
  • E. hasScriptStatus
    Indicates that an entity has a particular script-related state or condition, such as whether a script is present, active, or in a given status.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ff913608190b6ccf4a85057b07b completed March 12, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69b347f8dcb08190a725c1f7fb5a7466 completed March 12, 2026, 11:10 p.m.
PDg Predicate description generation batch_69b34e0606488190baadf469a1afc3c2 completed March 12, 2026, 11:36 p.m.
Created at: March 12, 2026, 11:07 p.m.