Triple

T23285203
Position Surface form Disambiguated ID Type / Status
Subject Roer Department E588966 entity
Predicate containsPresentDayCity P58091 FINISHED
Object Aachen NE NERFINISHED

How this triple was built (3 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: Aachen | Statement: [Roer Department, containsPresentDayCity, Aachen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aachen
Context triple: [Roer Department, containsPresentDayCity, Aachen]
  • A. Aachen chosen
    Aachen is a historic German city near the borders with Belgium and the Netherlands, renowned for its medieval cathedral, role as a coronation site for Holy Roman Emperors, and significance in both World Wars.
  • B. Trier
    Trier is a historic city in western Germany, renowned as one of the country’s oldest cities with extensive Roman ruins and medieval landmarks.
  • C. Neuss
    Neuss is a city in western Germany, near Düsseldorf, known as an administrative and commercial center with historical roots dating back to Roman times.
  • D. Maubeuge
    Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
  • E. Neunkirchen
    Neunkirchen is an industrial town in Austria’s Lower Austria region, known historically for its manufacturing and metalworking industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsPresentDayCity
Context triple: [Roer Department, containsPresentDayCity, Aachen]
  • A. presentDayCityIs
    Indicates that one entity is the current, modern-day city corresponding to or located at the place represented by the other entity.
  • B. presentDayCityCountry
    Indicates that a given city is located in a specified country in the present day.
  • C. presentDayCityRegion
    Indicates that a city is located within or associated with a particular region in the present day.
  • D. containsModernCity chosen
    Indicates that one geographic or administrative region includes within its boundaries a currently existing modern city.
  • E. presentDayIncludes
    Indicates that the current day in a given calendar or time context encompasses or contains a specified time, date, or event.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1964600888190b40ecbefdc8aec64 completed April 29, 2026, 5:25 a.m.
PD Predicate disambiguation batch_69effcecabd88190856fb6e1d993e4dd completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:59 p.m.