Triple

T899208
Position Surface form Disambiguated ID Type / Status
Subject Spanish-speaking world E19408 entity
Predicate hasCommonTradition P11721 FINISHED
Object Roman law tradition 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: Roman law tradition | Statement: [Spanish-speaking world, hasCommonTradition, Roman law tradition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommonTradition
Context triple: [Spanish-speaking world, hasCommonTradition, Roman law tradition]
  • A. hasTraditionIn
    Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
  • B. hasSourceTradition
    Indicates that something originates from, or is derived within, a particular cultural, religious, intellectual, or historical tradition.
  • C. sharesTraditionsWith chosen
    Indicates that two entities have customs, practices, or cultural traditions in common or mutually observe similar traditional activities.
  • D. traditionSince
    Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
  • E. traditionAscribes
    Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4162848190aa2787b2fa3e6575 completed March 1, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69a4aa979d408190b17ccfde132ea628 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.