Triple

T7239044
Position Surface form Disambiguated ID Type / Status
Subject Lauenburg E155306 entity
Predicate hasOldTownOn P53191 FINISHED
Object right bank of the Elbe 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: right bank of the Elbe | Statement: [Lauenburg, hasOldTownOn, right bank of the Elbe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOldTownOn
Context triple: [Lauenburg, hasOldTownOn, right bank of the Elbe]
  • A. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • B. hasNewTown
    Indicates that an entity is associated with, or has established, a newly created town.
  • C. hasDowntown
    Indicates that a place or city possesses a central downtown area.
  • D. hasMarketTownHistory
    Indicates that an entity has a historical association with functioning as a market town or possessing recognized market-town status in the past.
  • E. oldTownStatus chosen
    Indicates that a place holds the designation or characteristics of being an old or historic town.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea552a688190a00f5d0ad982f787 completed March 27, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69c6e7644648819096a5e2de5d0dbe97 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:55 p.m.