Triple

T12246410
Position Surface form Disambiguated ID Type / Status
Subject Model Penal Code E291862 entity
Predicate notStatus P103705 FINISHED
Object not itself binding law 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: not itself binding law | Statement: [Model Penal Code, notStatus, not itself binding law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notStatus
Context triple: [Model Penal Code, notStatus, not itself binding law]
  • A. status
    Indicates the current condition, state, or standing of an entity within a given context.
  • B. nonCollectingStatus
    Indicates that an entity is in a state where it is not actively collecting or receiving items, data, payments, or other resources.
  • C. notAbout
    Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
  • D. notUsedAt
    Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
  • E. notOfficialIn
    Indicates that an entity does not hold an official role, status, or position within a specified organization, group, or jurisdiction.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d91d3654208190a2e0487dfa1d54da completed April 10, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:51 p.m.