Triple

T13827313
Position Surface form Disambiguated ID Type / Status
Subject Duke of Württemberg E332284 entity
Predicate traditionalTitleStyle P11127 FINISHED
Object His Ducal Serene Highness 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: His Ducal Serene Highness | Statement: [Duke of Württemberg, traditionalTitleStyle, His Ducal Serene Highness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalTitleStyle
Context triple: [Duke of Württemberg, traditionalTitleStyle, His Ducal Serene Highness]
  • A. traditionalTitle chosen
    Indicates that an entity holds or is associated with a customary or historically established title or honorific within a cultural or social tradition.
  • B. traditionalTitleGivenBy
    Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
  • C. traditionalStyle
    Indicates that something follows or embodies a conventional, long-established way of doing, making, or presenting it, in contrast to modern or innovative styles.
  • D. traditionalTitleHolder
    Indicates that one entity holds a customary or historically established title or rank in relation to another entity.
  • E. titleStylization
    Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
PD Predicate disambiguation batch_69dbc86668e08190ba9135d1c3f38d35 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:13 p.m.