Triple

T8389035
Position Surface form Disambiguated ID Type / Status
Subject Lady Augusta Murray E197892 entity
Predicate citizenshipStatusOfChildren P50610 FINISHED
Object children considered illegitimate in law 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: children considered illegitimate in law | Statement: [Lady Augusta Murray, citizenshipStatusOfChildren, children considered illegitimate in law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusOfChildren
Context triple: [Lady Augusta Murray, citizenshipStatusOfChildren, children considered illegitimate in law]
  • A. hasMotherCitizenship
    Indicates that the mother of a given person holds citizenship in a specified country or jurisdiction.
  • B. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • C. citizenshipInheritance chosen
    Indicates that an individual acquires or derives their citizenship from another person, typically a parent or ancestor, through legal or hereditary transmission.
  • D. hasFatherCitizenship
    Indicates that the citizenship of a person’s father is associated with or attributed to that person.
  • E. dualCitizenshipStatus
    Indicates that an entity holds legal citizenship in two different countries simultaneously.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81090f688190a3a8d1680383c361 completed March 31, 2026, 8:08 a.m.
PD Predicate disambiguation batch_69cb70cfe82881909fe374ba52649e84 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:03 p.m.