Triple
T11100263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LF Energy |
E262482
|
entity |
| Predicate | hasProject |
P14971
|
FINISHED |
| Object |
SOGNO
SOGNO is an LF Energy open-source project focused on developing next-generation, automated, and interoperable grid management solutions for modern power systems.
|
E904623
|
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: SOGNO | Statement: [LF Energy, hasProject, SOGNO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SOGNO Context triple: [LF Energy, hasProject, SOGNO]
-
A.
Sogno
Sogno is a best-selling 1999 pop-classical album by Italian tenor Andrea Bocelli that helped cement his international fame.
-
B.
Ensueño
Ensueño is a track associated with the Barcelona music scene, likely reflecting the city’s atmospheric and evocative electronic or ambient style.
-
C.
Rêve
"Rêve" is an atmospheric, synthesizer-driven instrumental track by Vangelis from his 1979 album Opera Sauvage, noted for its dreamy, meditative mood.
-
D.
Il sogno
"Il sogno" is a notable musical piece from Nino Rota’s score for Federico Fellini’s film *Amarcord*, reflecting the movie’s nostalgic and dreamlike atmosphere.
-
E.
The Dream
"The Dream" is a song by Rufus Wainwright from his introspective, piano-driven album *All Days Are Nights: Songs for Lulu*.
- 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: SOGNO Triple: [LF Energy, hasProject, SOGNO]
Generated description
SOGNO is an LF Energy open-source project focused on developing next-generation, automated, and interoperable grid management solutions for modern power systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SOGNO Target entity description: SOGNO is an LF Energy open-source project focused on developing next-generation, automated, and interoperable grid management solutions for modern power systems.
-
A.
Sogno
Sogno is a best-selling 1999 pop-classical album by Italian tenor Andrea Bocelli that helped cement his international fame.
-
B.
Ensueño
Ensueño is a track associated with the Barcelona music scene, likely reflecting the city’s atmospheric and evocative electronic or ambient style.
-
C.
Rêve
"Rêve" is an atmospheric, synthesizer-driven instrumental track by Vangelis from his 1979 album Opera Sauvage, noted for its dreamy, meditative mood.
-
D.
Il sogno
"Il sogno" is a notable musical piece from Nino Rota’s score for Federico Fellini’s film *Amarcord*, reflecting the movie’s nostalgic and dreamlike atmosphere.
-
E.
The Dream
"The Dream" is a song by Rufus Wainwright from his introspective, piano-driven album *All Days Are Nights: Songs for Lulu*.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a29ee6c819092bc0da3f9255389 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7f9b46881909761ed448fa5ce6e |
completed | April 18, 2026, 8:22 p.m. |
| NEDg | Description generation | batch_69e3f2cc9b7c8190bb5fd89f239917cf |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f4a37b6c81908ca63270d82579ae |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.