Triple

T11103703
Position Surface form Disambiguated ID Type / Status
Subject Province of Rimini E262573 entity
Predicate contains P35 FINISHED
Object Torriana
Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
 E905455 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: Torriana | Statement: [Province of Rimini, contains, Torriana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Torriana
Context triple: [Province of Rimini, contains, Torriana]
  • A. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • B. Orbiana
    Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
  • C. Toria
    Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
  • D. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • E. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • 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: Torriana
Triple: [Province of Rimini, contains, Torriana]
Generated description
Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Torriana
Target entity description: Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
  • A. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • B. Orbiana
    Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
  • C. Toria
    Toria is a diminutive or variant form of the given name Victoria, often used as a nickname.
  • D. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • E. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2d33948190ac29d174694a78e5 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d6d03788190acc9748a3ba0d0ab completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.