Triple

T22741474
Position Surface form Disambiguated ID Type / Status
Subject Piazza Duomo, Catania E562424 entity
Predicate hasLandmark P105 FINISHED
Object Porta Uzeda 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: Porta Uzeda | Statement: [Piazza Duomo, Catania, hasLandmark, Porta Uzeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porta Uzeda
Context triple: [Piazza Duomo, Catania, hasLandmark, Porta Uzeda]
  • A. Porta Uzeda chosen
    Porta Uzeda is a historic Baroque city gate in Catania, Italy, forming a monumental entrance between the old city center and the seafront.
  • B. Porta Faul
    Porta Faul is a historic city gate in Viterbo, Italy, notable as part of the town’s medieval defensive walls.
  • C. Porta Grande
    Porta Grande is a historic city gate and notable architectural landmark in the town of Mesagne in southern Italy.
  • D. Porta Elisa
    Porta Elisa is a neoclassical city gate in Lucca, Italy, serving as one of the main entrances through the town’s historic defensive walls.
  • E. Punda Maria Gate
    Punda Maria Gate is a northern entrance point to South Africa’s Kruger National Park, serving as a gateway to its remote and wildlife-rich regions.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17972fde8819086094cea289a2af8 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.