Triple
T9288156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melon de Bourgogne |
E223449
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Melon
Melon is a white grape variety from France’s Loire Valley, best known for producing the crisp, mineral Muscadet wines.
|
E789780
|
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: Melon | Statement: [Melon de Bourgogne, alsoKnownAs, Melon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melon Context triple: [Melon de Bourgogne, alsoKnownAs, Melon]
-
A.
Meloneras
Meloneras is an upscale coastal resort area in southern Gran Canaria, Spain, known for its luxury hotels, seaside promenade, and proximity to the Maspalomas dunes and lighthouse.
-
B.
Ultra Watermelon
Ultra Watermelon is a watermelon-flavored variant of Monster Energy drink known for its bold, sweet taste and high caffeine content.
-
C.
Grapefruit
Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
-
D.
Papay
Papay is a small settlement on the Orkney island of Papa Westray in Scotland.
-
E.
Peach
Peach is a recurring princess character from Nintendo's Mario franchise, known for her distinctive pink dress and frequent appearances as a playable racer in the Mario Kart series.
- 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: Melon Triple: [Melon de Bourgogne, alsoKnownAs, Melon]
Generated description
Melon is a white grape variety from France’s Loire Valley, best known for producing the crisp, mineral Muscadet wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melon Target entity description: Melon is a white grape variety from France’s Loire Valley, best known for producing the crisp, mineral Muscadet wines.
-
A.
Meloneras
Meloneras is an upscale coastal resort area in southern Gran Canaria, Spain, known for its luxury hotels, seaside promenade, and proximity to the Maspalomas dunes and lighthouse.
-
B.
Ultra Watermelon
Ultra Watermelon is a watermelon-flavored variant of Monster Energy drink known for its bold, sweet taste and high caffeine content.
-
C.
Grapefruit
Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
-
D.
Papay
Papay is a small settlement on the Orkney island of Papa Westray in Scotland.
-
E.
Peach
The peach is a sweet, juicy stone fruit with fuzzy skin, widely cultivated and celebrated in Georgia and other temperate regions.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0861425c81909e3ab11e19cc2f65 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b22753e481908bf19c7da13556d6 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b31096108190a118a4c7a8c11133 |
completed | April 4, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b3d40da08190b25118a0901728da |
completed | April 4, 2026, 6:46 a.m. |
Created at: March 30, 2026, 7:35 p.m.