Triple

T14269437
Position Surface form Disambiguated ID Type / Status
Subject Ager Gallicus E353738 entity
Predicate romanLegalStatus P40055 FINISHED
Object ager publicus 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: ager publicus | Statement: [Ager Gallicus, romanLegalStatus, ager publicus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanLegalStatus
Context triple: [Ager Gallicus, romanLegalStatus, ager publicus]
  • A. usedLegalStatus
    Indicates that one entity applies or relies on the legal status or classification of another entity in a given context.
  • B. civicStatus
    Indicates the legal or social standing of an individual within a civic or societal framework, such as marital or citizenship status.
  • C. hasLegalStatus
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • D. legalCodeStatus
    Indicates the legal or regulatory status assigned to a specific code within a legal or statutory system (e.g., active, repealed, pending).
  • E. legalStatusInEmpire chosen
    Indicates the formal legal standing or classification an entity holds within a particular empire’s legal and administrative system.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:10 a.m.