Triple

T16617782
Position Surface form Disambiguated ID Type / Status
Subject Valtiberina E403738 entity
Predicate contains P35 FINISHED
Object Citerna
Citerna is a small historic hilltop town in the Upper Tiber Valley of Umbria, central Italy, known for its medieval architecture and panoramic views.
E1223892 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: Citerna | Statement: [Valtiberina, contains, Citerna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citerna
Context triple: [Valtiberina, contains, Citerna]
  • A. Lanckorona
    Lanckorona is a historic village in southern Poland known for its well-preserved wooden architecture and picturesque hillside setting.
  • B. Fiastra
    Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
  • C. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • D. Modautal
    Modautal is a small municipality in the state of Hesse in central Germany, situated in a rural, hilly area south of Darmstadt.
  • E. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • 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: Citerna
Triple: [Valtiberina, contains, Citerna]
Generated description
Citerna is a small historic hilltop town in the Upper Tiber Valley of Umbria, central Italy, known for its medieval architecture and panoramic views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Citerna
Target entity description: Citerna is a small historic hilltop town in the Upper Tiber Valley of Umbria, central Italy, known for its medieval architecture and panoramic views.
  • A. Lanckorona
    Lanckorona is a historic village in southern Poland known for its well-preserved wooden architecture and picturesque hillside setting.
  • B. Fiastra
    Fiastra is a river in the Marche region of central Italy, known for flowing through the Province of Macerata and feeding the scenic Fiastra Lake.
  • C. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • D. Modautal
    Modautal is a small municipality in the state of Hesse in central Germany, situated in a rural, hilly area south of Darmstadt.
  • E. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007daef18481908c3628a3466300ce completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e6507208190b3f32c05a2f647bd completed May 10, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_6a007f2cefa081908734a907da33a72f completed May 10, 2026, 12:50 p.m.
Created at: April 10, 2026, 5:17 a.m.