Triple

T18604971
Position Surface form Disambiguated ID Type / Status
Subject Porta Romana (Viterbo) E454717 entity
Predicate hasName P744 FINISHED
Object Porta Romana
Porta Romana is a historic city gate in Viterbo, Italy, serving as one of the traditional entrances through the town’s medieval walls.
 E454717 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 Romana | Statement: [Porta Romana (Viterbo), hasName, Porta Romana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porta Romana
Context triple: [Porta Romana (Viterbo), hasName, Porta Romana]
  • A. Porta Romana
    Porta Romana is a historic city gate in Velletri, Italy, notable as one of the traditional entrances to the town.
  • B. Porta Romana
    Porta Romana is a historic city gate of Terra del Sole in Italy, notable as one of the main fortified entrances to the Renaissance-planned town.
  • C. Porta Romana
    Porta Romana is a historic city gate and surrounding district in Milan, Italy, known for its architectural heritage and vibrant urban life.
  • D. Porta Romana
    Porta Romana is a historic town gate in Valentano, Italy, notable as one of the main entrances to its old medieval center.
  • E. Porta Romana
    Porta Romana is an underground station on Milan’s Metro Line 3 serving the historic Porta Romana district south of the city center.
  • 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 Romana
Triple: [Porta Romana (Viterbo), hasName, Porta Romana]
Generated description
Porta Romana is a historic city gate in Viterbo, Italy, serving as one of the traditional entrances through the town’s medieval walls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porta Romana
Target entity description: Porta Romana is a historic city gate in Viterbo, Italy, serving as one of the traditional entrances through the town’s medieval walls.
  • A. Porta Romana chosen
    Porta Romana is a historic city gate in Viterbo, Italy, serving as one of the traditional entrances through the town’s medieval walls.
  • B. Porta Romana
    Porta Romana is a historic city gate in Velletri, Italy, notable as one of the traditional entrances to the town.
  • C. Porta Romana
    Porta Romana is a historic city gate in Norcia, Italy, notable as one of the main entrances through the town’s medieval walls.
  • D. Porta Romana
    Porta Romana is a historic town gate in Valentano, Italy, notable as one of the main entrances to its old medieval center.
  • E. Porta Romana
    Porta Romana is a historic city gate of Terra del Sole in Italy, notable as one of the main fortified entrances to the Renaissance-planned town.
  • F. None of above.

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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e547535b8c8190ab5a8a92f15f2bcb completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05038573588190a825b00e3f210c3f completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05044722c88190bdeac36b602673e9 completed May 13, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0504deb488819086f3146141b3fb45 completed May 13, 2026, 11:10 p.m.
Created at: April 10, 2026, 11:45 a.m.