Triple

T2777543
Position Surface form Disambiguated ID Type / Status
Subject Göttingen district E61609 entity
Predicate hasUniversityCity P4747 FINISHED
Object Göttingen E25610 NE FINISHED

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: Göttingen | Statement: [Göttingen district, hasUniversityCity, Göttingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göttingen
Context triple: [Göttingen district, hasUniversityCity, Göttingen]
  • A. Göttingen chosen
    Göttingen is a historic university city in Lower Saxony, Germany, renowned for its prestigious Georg-August University and contributions to science and mathematics.
  • B. Darmstadt
    Darmstadt is a city in the German state of Hesse known for its historical ties to the Grand Duchy of Hesse and its role as a center of science, technology, and Art Nouveau culture.
  • C. Greifswald
    Greifswald is a historic Hanseatic university city in northeastern Germany, located near the Baltic Sea.
  • D. Heidelberg
    Heidelberg is a suburb of Melbourne, Australia, known for its historic role in Australian Impressionism and its location along the Yarra River.
  • E. Heidelberg
    Heidelberg is a historic university city in southwestern Germany renowned for its picturesque old town, castle ruins, and one of Europe’s oldest universities.
  • 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: hasUniversityCity
Context triple: [Göttingen district, hasUniversityCity, Göttingen]
  • A. cityOfInstitution
    Indicates the city in which an institution is located or based.
  • B. universityLocatedIn
    Indicates that a university is situated within or associated with a specific geographic location or administrative region.
  • C. isCollegeTownOf chosen
    Indicates that a town or city is primarily known for and significantly shaped by the presence of a particular college or university.
  • D. hasPublicUniversityCampus
    Indicates that a public university maintains or operates a campus at the specified location.
  • E. isUrbanUniversity
    Indicates that a university is located in, or primarily associated with, an urban (city) environment.
  • F. None of above.

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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddceb9d88190961e30d521a21552 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b28dc130a48190a4bf2259c206cf88 completed March 12, 2026, 9:56 a.m.
PD Predicate disambiguation batch_69abdd00b65c8190a8ea444308c4fa2b completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:57 p.m.