Triple

T8915296
Position Surface form Disambiguated ID Type / Status
Subject Liternum E212280 entity
Predicate hasReligionHistoricallyPracticed P7641 FINISHED
Object Roman polytheism 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 polytheism | Statement: [Liternum, hasReligionHistoricallyPracticed, Roman polytheism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligionHistoricallyPracticed
Context triple: [Liternum, hasReligionHistoricallyPracticed, Roman polytheism]
  • A. hasAssociatedReligion
    Indicates that an entity is connected with or linked to a particular religion.
  • B. hasFormerReligiousJurisdiction
    Indicates that an entity was previously under the religious authority or governance of another entity, but no longer is.
  • C. usedReligionFor
    Indicates that an entity employed religion as a means or tool to achieve some purpose, goal, or effect.
  • D. religionHistoricallyAssociated chosen
    Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
  • E. hasContinuousReligiousFunctionSince
    Indicates that a religious function or use has been ongoing without interruption from a specified starting time up to the present or another reference time.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc660f6a088190b0af829ea809d8ad completed April 1, 2026, 12:25 a.m.
PD Predicate disambiguation batch_69cc5ecf55248190a29f00fbf99f13c4 completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:56 p.m.