Triple

T19220163
Position Surface form Disambiguated ID Type / Status
Subject French postal administration E480590 entity
Predicate honorsFunction P86462 FINISHED
Object creation of postal service decorations 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: creation of postal service decorations | Statement: [French postal administration, honorsFunction, creation of postal service decorations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honorsFunction
Context triple: [French postal administration, honorsFunction, creation of postal service decorations]
  • A. honoursFunction chosen
    Indicates that one entity formally recognizes, celebrates, or pays tribute to another through a designated function, event, or ceremony.
  • B. honorificFunction
    Indicates that one entity serves as an honorific title, role, or form of address used in reference to another entity.
  • C. honors
    Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
  • D. honorsRole
    Indicates that one entity formally recognizes and respects the position, title, or role held by another entity.
  • E. honorsSchool
    Indicates that a school has received recognition, distinction, or special status for high achievement or excellence.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
PD Predicate disambiguation batch_69e4dcf22b3c8190bee02e3af946e114 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:23 p.m.