Triple
T26037065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balaton Sound festival site |
E647581
|
entity |
| Predicate | hostsFestival |
P3113
|
FINISHED |
| Object |
Balaton Sound
Balaton Sound is a major annual electronic music festival held on the shores of Lake Balaton in Hungary, known for its beachside stages and international DJ lineup.
|
E1710852
|
NE FINISHED |
How this triple was built (2 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: Balaton Sound | Statement: [Balaton Sound festival site, hostsFestival, Balaton Sound]
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: Balaton Sound Triple: [Balaton Sound festival site, hostsFestival, Balaton Sound]
Generated description
Balaton Sound is a major annual electronic music festival held on the shores of Lake Balaton in Hungary, known for its beachside stages and international DJ lineup.
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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6061e95848190b6a47fd49280ad1c |
completed | May 2, 2026, 2:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11273fac2c81908d1efa7a9d3ea2fc |
completed | May 23, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_6a1153d6dd608190bd02f3f15210f929 |
completed | May 23, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1155021a8c8190acf7aa793cf0f3c3 |
completed | May 23, 2026, 7:19 a.m. |
Created at: April 22, 2026, 9:08 a.m.