Triple

T17247171
Position Surface form Disambiguated ID Type / Status
Subject Piazza Municipio E418655 entity
Predicate hasNearbyBuilding P5648 FINISHED
Object Naples City Hall E1256813 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: Naples City Hall | Statement: [Piazza Municipio, hasNearbyBuilding, Naples City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naples City Hall
Context triple: [Piazza Municipio, hasNearbyBuilding, Naples City Hall]
  • A. Naples City Hall chosen
    Naples City Hall is the main administrative and political headquarters of the city government of Naples, Italy.
  • B. Rome City Hall
    Rome City Hall is the municipal government headquarters of Rome, located atop the historic Capitoline Hill.
  • C. San Marino City Hall
    San Marino City Hall is the main municipal government building and administrative center serving the city of San Marino, California.
  • D. Bologna city hall
    Bologna city hall is the historic municipal building complex on Piazza Maggiore in Bologna, Italy, known for its medieval architecture and role as the seat of the city’s government.
  • E. Naples Cathedral
    Naples Cathedral is the principal Roman Catholic church of Naples, Italy, renowned for its Gothic architecture and as the seat of the city's archbishop.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e24a4508190bbcc70c36b2b9c13 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f744d8819099f10bbba364586d completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.