Triple

T17352969
Position Surface form Disambiguated ID Type / Status
Subject Order 66 E421859 entity
Predicate legalCover P127156 FINISHED
Object Republic law branding Jedi as traitors 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: Republic law branding Jedi as traitors | Statement: [Order 66, legalCover, Republic law branding Jedi as traitors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalCover
Context triple: [Order 66, legalCover, Republic law branding Jedi as traitors]
  • A. legalContent
    Indicates that the associated material complies with applicable laws and regulations and is permitted for use, distribution, or display.
  • B. legalTool
    Indicates a relationship where something functions as a legal instrument, mechanism, or means used to achieve or regulate a legal purpose or outcome.
  • C. legalCodeFocus
    Indicates that something is specifically concerned with, centered on, or primarily addressing a particular legal code or body of law.
  • D. legalDetail
    Indicates that there is specific legal information, conditions, or attributes associated with the related entity or relationship.
  • E. legalProtectionFor
    Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2dae648190b7f3487919a446af completed April 19, 2026, 2:13 a.m.
PD Predicate disambiguation batch_69e3b02662d08190a07d0fb5c04b6f33 completed April 18, 2026, 4:24 p.m.
PDg Predicate description generation batch_69e3b2a225b08190a50f984caa6513b9 completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:44 a.m.