Triple

T6295883
Position Surface form Disambiguated ID Type / Status
Subject Leidseplein E141129 entity
Predicate hasNearbyMusicVenue P28492 FINISHED
Object Paradiso E108898 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: Paradiso | Statement: [Leidseplein, hasNearbyMusicVenue, Paradiso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paradiso
Context triple: [Leidseplein, hasNearbyMusicVenue, Paradiso]
  • A. Paradiso chosen
    Paradiso is the third and final canticle of Dante Alighieri's Divine Comedy, depicting the poet's allegorical journey through the celestial spheres of Heaven toward the vision of God.
  • B. Paradiso
    Paradiso is a picturesque Swiss lakeside town in the canton of Ticino, known for its scenic setting on Lake Lugano and proximity to Monte San Salvatore.
  • C. Purgatorio
    Purgatorio is the second canticle of Dante Alighieri’s Divine Comedy, depicting the poet’s ascent of Mount Purgatory as souls undergo purification on their way to Paradise.
  • D. Inferno
    "Inferno" is a critically acclaimed short horror film by visual effects artist and director Mike Hill, known for its atmospheric storytelling and striking, cinematic imagery.
  • E. Inferno
    Inferno is a classic Third Doctor serial from the British science fiction series Doctor Who, notable for its dark tone and parallel universe storyline involving a disastrous drilling project.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06741fbbc81908d947182b197bf59 completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5198e2c1c81909d39adffbdadcbdf completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.