Triple

T3678115
Position Surface form Disambiguated ID Type / Status
Subject Forlì E78044 entity
Predicate hasLandmark P105 FINISHED
Object Palazzo Comunale E379031 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: Palazzo Comunale | Statement: [Forlì, hasLandmark, Palazzo Comunale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palazzo Comunale
Context triple: [Forlì, hasLandmark, Palazzo Comunale]
  • A. Palazzo Municipale
    Palazzo Municipale is the historic town hall and former ducal residence located in the center of Ferrara, Italy.
  • B. Palazzo del Podestà chosen
    Palazzo del Podestà is a historic civic palace in Forlì, Italy, notable for its medieval architecture and role as a former seat of local government.
  • C. Palazzo del Governo
    Palazzo del Governo is a historic governmental palace located on Turin’s central Piazza Castello, serving as one of the city’s key institutional buildings.
  • D. Palazzo Pretorio
    Palazzo Pretorio is a historic medieval palace in Trento, Italy, notable for its role as a former bishop’s residence and its prominent position on Piazza Duomo.
  • E. Palazzo dei Priori
    Palazzo dei Priori is a historic medieval civic palace in Perugia, Italy, renowned for its Gothic architecture and role as the seat of the city’s government and art collections.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc46599188190a046eddb0d85c483 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cde8bc5081909cfaa4a391b8aca1 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:25 p.m.