Triple

T19633106
Position Surface form Disambiguated ID Type / Status
Subject Tidone River E471319 entity
Predicate hasNameInLanguage P15 FINISHED
Object Tidone
Tidone is a river in northern Italy that flows through the Emilia-Romagna and Lombardy regions before joining the Po River.
 E1386315 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: Tidone | Statement: [Tidone River, hasNameInLanguage, Tidone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tidone
Context triple: [Tidone River, hasNameInLanguage, Tidone]
  • A. Diotisalvi
    Diotisalvi was a 12th-century Italian architect best known for designing notable Romanesque buildings in Pisa, including major religious monuments.
  • B. Tordino
    Tordino is a river in the Abruzzo region of central Italy that flows through the city of Teramo before reaching the Adriatic Sea.
  • C. Tigurini
    The Tigurini were a Celtic tribe of the Helvetii known for their role in conflicts with the Roman Republic, including their participation in the Cimbrian War.
  • D. Toffia
    Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
  • E. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • 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: Tidone
Triple: [Tidone River, hasNameInLanguage, Tidone]
Generated description
Tidone is a river in northern Italy that flows through the Emilia-Romagna and Lombardy regions before joining the Po River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tidone
Target entity description: Tidone is a river in northern Italy that flows through the Emilia-Romagna and Lombardy regions before joining the Po River.
  • A. Diotisalvi
    Diotisalvi was a 12th-century Italian architect best known for designing notable Romanesque buildings in Pisa, including major religious monuments.
  • B. Tordino
    Tordino is a river in the Abruzzo region of central Italy that flows through the city of Teramo before reaching the Adriatic Sea.
  • C. Tigurini
    The Tigurini were a Celtic tribe of the Helvetii known for their role in conflicts with the Roman Republic, including their participation in the Cimbrian War.
  • D. Toffia
    Toffia is a small historic hilltop town in the Lazio region of central Italy, known for its medieval architecture and scenic countryside setting.
  • E. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6410449ec8190b8c20c0e09cd9156 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771c3fb608190ac10cb35014f1b5a completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a07731b33f88190b34aa3f29ca530e9 completed May 15, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a0773de9e90819081e45eb66ccdfcee completed May 15, 2026, 7:28 p.m.
Created at: April 10, 2026, 1:44 p.m.