Triple
T2822623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongo |
E54844
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object |
Livo torrent
Livo torrent is a mountain stream in northern Italy that flows through the area of Dongo into Lake Como.
|
E301022
|
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: Livo torrent | Statement: [Dongo, hasBodyOfWater, Livo torrent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livo torrent Context triple: [Dongo, hasBodyOfWater, Livo torrent]
-
A.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
B.
Ab-Liva
Ab-Liva is an American rapper best known as a member of the Re-Up Gang and for his frequent collaborations with Pusha T and The Neptunes.
-
C.
LIF
LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
-
D.
L.I.F.E
L.I.F.E is the debut studio album by Nigerian artist Burna Boy, widely recognized for helping establish his Afro-fusion sound and launching him to mainstream prominence.
-
E.
GBLIV
GBLIV is the UN/LOCODE identifier for the Port of Liverpool in the United Kingdom, used in international shipping and logistics.
- 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: Livo torrent Triple: [Dongo, hasBodyOfWater, Livo torrent]
Generated description
Livo torrent is a mountain stream in northern Italy that flows through the area of Dongo into Lake Como.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livo torrent Target entity description: Livo torrent is a mountain stream in northern Italy that flows through the area of Dongo into Lake Como.
-
A.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
B.
Ab-Liva
Ab-Liva is an American rapper best known as a member of the Re-Up Gang and for his frequent collaborations with Pusha T and The Neptunes.
-
C.
LIF
LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
-
D.
L.I.F.E
L.I.F.E is the debut studio album by Nigerian artist Burna Boy, widely recognized for helping establish his Afro-fusion sound and launching him to mainstream prominence.
-
E.
GBLIV
GBLIV is the UN/LOCODE identifier for the Port of Liverpool in the United Kingdom, used in international shipping and logistics.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde71fdc08190b18660261fe24adf |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf138c00819087913972df96f5ad |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf8d0318819088f9abd895f8ba0a |
completed | March 10, 2026, 8 a.m. |
Created at: March 6, 2026, 9:59 p.m.