Triple

T9364192
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg–Fürth line E225358 entity
Predicate originalLocomotive P85499 FINISHED
Object Adler E674083 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: Adler | Statement: [Nuremberg–Fürth line, originalLocomotive, Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adler
Context triple: [Nuremberg–Fürth line, originalLocomotive, Adler]
  • A. Adler
    Adler is a German surname most famously associated with Alfred Adler, the Austrian physician and founder of individual psychology.
  • B. Adler chosen
    Adler is a resort district of Sochi on Russia’s Black Sea coast, known as a major transport hub and holiday destination.
  • C. Adoian
    Adoian is the original Armenian surname of the influential abstract expressionist painter Arshile Gorky.
  • D. Sigmund
    Sigmund is the given name of Sigmund Freud, the pioneering Austrian neurologist and founder of psychoanalysis.
  • E. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • 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: originalLocomotive
Context triple: [Nuremberg–Fürth line, originalLocomotive, Adler]
  • A. openingLocomotive
    Indicates that an entity serves as the leading locomotive at the front of a train consist.
  • B. hasLocomotive
    Indicates that one entity possesses or is equipped with a locomotive as part of its composition or operation.
  • C. firstLocomotiveName chosen
    Indicates the name assigned to the first locomotive associated with a given entity or context.
  • D. locomotiveWorks
    Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
  • E. pursuitLocomotive
    Indicates engaging in locomotion specifically aimed at following or chasing another entity.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
PD Predicate disambiguation batch_69cc7a6abb8c81908c7a2f4ee92cc949 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:42 p.m.