Triple

T5057853
Position Surface form Disambiguated ID Type / Status
Subject Fredericia E113948 entity
Predicate grantedTownPrivileges P3431 FINISHED
Object 1650 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: 1650 | Statement: [Fredericia, grantedTownPrivileges, 1650]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantedTownPrivileges
Context triple: [Fredericia, grantedTownPrivileges, 1650]
  • A. grantedTownRights chosen
    Indicates that an authority formally conferred municipal or town privileges and legal status upon a settlement.
  • B. majorAccessTown
    Indicates that a location serves as a primary or significant access point to a town, such as a main route, gateway, or connection hub.
  • C. cityStatusGrantedBy
    Indicates that one entity (such as a person, authority, or institution) formally granted or conferred city status upon another entity (typically a settlement or locality).
  • D. hasTownStatus
    Indicates that an entity possesses the legal or administrative status of being recognized as a town.
  • E. grantedPower
    Indicates that one entity has conferred authority, control, or a specific capability to another entity.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74523434819092b8b15992073b5b completed March 20, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69bd715622b48190a3e8e49a5ef62b4a completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:38 p.m.