Triple

T26741323
Position Surface form Disambiguated ID Type / Status
Subject Niederscheld E674266 entity
Predicate hasHigherLevelLocalGovernmentArea P182383 FINISHED
Object Lahn-Dill-Kreis NE NERFINISHED

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: Lahn-Dill-Kreis | Statement: [Niederscheld, hasHigherLevelLocalGovernmentArea, Lahn-Dill-Kreis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHigherLevelLocalGovernmentArea
Context triple: [Niederscheld, hasHigherLevelLocalGovernmentArea, Lahn-Dill-Kreis]
  • A. hasHighestLevelOfLocalGovernment
    Indicates that the subject entity is the top-tier or most authoritative level of local government within a given territorial or administrative area.
  • B. hasLocalGovernmentTier
    Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
  • C. hasLocalGovernmentAreaStatus
    Indicates that an entity holds the official designation or recognition as a local government area within a defined administrative system.
  • D. hasLocalGovernmentAreaCode
    Indicates that an entity is associated with a specific local government area identified by a particular code.
  • E. hasLocalGovernmentAreas
    Indicates that an entity is administratively divided into, or associated with, one or more local government areas.
  • 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_69eecda63a3881908095c47900692e65 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f78d7211a48190bfb59c406f0bf12f completed May 3, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
PDg Predicate description generation batch_69f78c6014e08190864785a4fe3e8e73 completed May 3, 2026, 5:56 p.m.
Created at: April 27, 2026, 3:49 a.m.