Triple

T19152162
Position Surface form Disambiguated ID Type / Status
Subject George Square campus E468835 entity
Predicate hasPart P35 FINISHED
Object Appleton Tower NE NERFINISHED

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: Appleton Tower | Statement: [George Square campus, hasPart, Appleton Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Appleton Tower
Context triple: [George Square campus, hasPart, Appleton Tower]
  • A. Appleton Tower chosen
    Appleton Tower is a prominent University of Edinburgh building in the city’s central area, primarily used for teaching and housing computing and informatics facilities.
  • B. Talbot Tower
    Talbot Tower is a prominent medieval fortification tower within the Château de Falaise in Normandy, France, historically associated with the castle’s defensive complex.
  • C. Carew Tower
    Carew Tower is an Art Deco skyscraper in downtown Cincinnati that long served as the city's tallest building and remains a prominent architectural and historic landmark.
  • D. Wood Tower
    Wood Tower is a historic medieval watchtower and former city gate located in the German city of Mainz along the Rhine River.
  • E. Harkness Tower
    Harkness Tower is a prominent Gothic-style bell tower and landmark at Yale University, known for its carillon and iconic presence on campus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97dc5a481909a58416126a0862d completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.