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.