Triple

T19138224
Position Surface form Disambiguated ID Type / Status
Subject Zell am Harmersbach E468486 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object LR 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: LR | Statement: [Zell am Harmersbach, hasVehicleRegistrationCode, LR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LR
Context triple: [Zell am Harmersbach, hasVehicleRegistrationCode, LR]
  • A. LR
    LR is the ISO 3166-1 alpha-2 country code for Liberia, a West African nation on the Atlantic coast.
  • B. LR
    LR is the commonly used abbreviation for Les Républicains, a major center-right political party in France.
  • C. LR chosen
    LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
  • D. LR
    LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
  • E. LER
    LER is the vehicle registration code assigned to the German island municipality of Borkum.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3ee8b988190914ef21ca1b890c6 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.