Triple

T21514585
Position Surface form Disambiguated ID Type / Status
Subject Oltrarno E530809 entity
Predicate contains P35 FINISHED
Object Porta San Niccolò
Porta San Niccolò is a historic medieval city gate and tower in Florence, Italy, located in the Oltrarno district along the Arno River.
E1489447 NE FINISHED

How this triple was built (4 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 San Niccolò | Statement: [Oltrarno, contains, Porta San Niccolò]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porta San Niccolò
Context triple: [Oltrarno, contains, Porta San Niccolò]
  • A. Porta San Pellegrino
    Porta San Pellegrino is a small historic gate in the Vatican City walls that provides access near St. Peter’s Basilica and the surrounding Vatican area.
  • B. Porta San Donato
    Porta San Donato is a historic city gate in Lucca, Italy, serving as one of the main entrances through the town’s Renaissance-era defensive walls.
  • C. Porta di San Leonardo
    Porta di San Leonardo is a historic city gate in Viterbo, Italy, forming part of the town’s medieval defensive walls.
  • D. Porta San Marco
    Porta San Marco is a historic city gate in Viterbo, Italy, forming part of the town’s medieval defensive walls.
  • E. Porta delle Fonti
    Porta delle Fonti is a historic medieval gate in San Gimignano, Italy, leading to the town’s ancient public fountains and water sources.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Porta San Niccolò
Triple: [Oltrarno, contains, Porta San Niccolò]
Generated description
Porta San Niccolò is a historic medieval city gate and tower in Florence, Italy, located in the Oltrarno district along the Arno River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porta San Niccolò
Target entity description: Porta San Niccolò is a historic medieval city gate and tower in Florence, Italy, located in the Oltrarno district along the Arno River.
  • A. Porta San Pellegrino
    Porta San Pellegrino is a small historic gate in the Vatican City walls that provides access near St. Peter’s Basilica and the surrounding Vatican area.
  • B. Porta San Donato
    Porta San Donato is a historic city gate in Lucca, Italy, serving as one of the main entrances through the town’s Renaissance-era defensive walls.
  • C. Porta di San Leonardo
    Porta di San Leonardo is a historic city gate in Viterbo, Italy, forming part of the town’s medieval defensive walls.
  • D. Porta San Marco
    Porta San Marco is a historic city gate in Viterbo, Italy, forming part of the town’s medieval defensive walls.
  • E. Porta delle Fonti
    Porta delle Fonti is a historic medieval gate in San Gimignano, Italy, leading to the town’s ancient public fountains and water sources.
  • F. None of above. chosen

Provenance (5 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea89b6e48190ac4ea139b895714f completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e820c650819098fa5816e87486bf completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e9da344481909165fe1e17dfb6c3 completed May 17, 2026, 4:16 p.m.
NED2 Entity disambiguation (via description) batch_6a09eaa19be8819084e336cba321505e completed May 17, 2026, 4:19 p.m.
Created at: April 16, 2026, 6:25 p.m.