Triple

T11529324
Position Surface form Disambiguated ID Type / Status
Subject Zaleucus E273376 entity
Predicate legalCodePurpose P99552 FINISHED
Object regulation of civic life in Locri Epizephyrii 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: regulation of civic life in Locri Epizephyrii | Statement: [Zaleucus, legalCodePurpose, regulation of civic life in Locri Epizephyrii]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalCodePurpose
Context triple: [Zaleucus, legalCodePurpose, regulation of civic life in Locri Epizephyrii]
  • A. encodingPurpose
    Indicates the reason or intended use for which an encoding is created or applied.
  • B. accessPurpose
    Indicates that one entity uses or accesses another entity specifically for a defined purpose or intended use.
  • C. legalCodeType
    Indicates the specific category or classification of a legal code that applies to an entity or situation.
  • D. legalBasis
    Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
  • E. legalCodeAppliesTo
    Indicates that a particular legal code or statute is applicable to, or governs, a specified subject, situation, or entity.
  • F. None of above. chosen

Provenance (4 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d883972b10819093bd09cf8406671c completed April 10, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69d80879fdb48190be6dacc8aa63c809 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:37 p.m.