Triple

T4288265
Position Surface form Disambiguated ID Type / Status
Subject Fürth Hardhöhe E97323 entity
Predicate locatedInDistrict P40 FINISHED
Object Hardhöhe E97323 NE 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: Hardhöhe | Statement: [Fürth Hardhöhe, locatedInDistrict, Hardhöhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardhöhe
Context triple: [Fürth Hardhöhe, locatedInDistrict, Hardhöhe]
  • A. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • B. Hohe Marter
    Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
  • C. Hoch
    Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
  • D. Fürth Hardhöhe chosen
    Fürth Hardhöhe is a station in the city of Fürth that serves as the western terminus of a line on the Nuremberg U-Bahn rapid transit system.
  • E. Rockheights
    Rockheights is a residential neighbourhood in the municipality of Esquimalt on southern Vancouver Island in British Columbia, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35060b70081908479c95b2afe8ec5 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c72bec388190b03048507e2e6858 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.