Triple

T3312717
Position Surface form Disambiguated ID Type / Status
Subject Molise E69608 entity
Predicate hasRiver P165 FINISHED
Object Trigno
Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
E345747 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: Trigno | Statement: [Molise, hasRiver, Trigno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trigno
Context triple: [Molise, hasRiver, Trigno]
  • A. Troinex
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • B. Dextre
    Dextre is a two-armed robotic handyman on the International Space Station designed to perform delicate maintenance tasks and reduce the need for spacewalks.
  • C. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • D. Dyna
    Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
  • E. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • 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: Trigno
Triple: [Molise, hasRiver, Trigno]
Generated description
Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trigno
Target entity description: Trigno is a river in central Italy that flows through the regions of Molise and Abruzzo before emptying into the Adriatic Sea.
  • A. Troinex
    Troinex is a small municipality in the canton of Geneva in southwestern Switzerland, situated near the French border.
  • B. Dextre
    Dextre is a two-armed robotic handyman on the International Space Station designed to perform delicate maintenance tasks and reduce the need for spacewalks.
  • C. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • D. Dyna
    Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
  • E. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eddf488190b7f05b3903b96d4b completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f3ece08190b488be792d57a653 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa431f4c819088c6e0afd4f2f774 completed March 12, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2fe1d4f9c8190a8d4f1206c551671 completed March 12, 2026, 5:55 p.m.
Created at: March 8, 2026, 3:11 p.m.