Triple
T17459573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cucumis melo |
E425117
|
entity |
| Predicate | hasCultivarGroup |
P24489
|
FINISHED |
| Object | Hami melon |
—
|
NE NERFINISHED |
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: Hami melon | Statement: [Cucumis melo, hasCultivarGroup, Hami melon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hami melon Context triple: [Cucumis melo, hasCultivarGroup, Hami melon]
-
A.
Melon
Melon is a white grape variety from France’s Loire Valley, best known for producing the crisp, mineral Muscadet wines.
-
B.
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.
-
C.
Cucumis melo
chosen
Cucumis melo is a species of melon that includes many cultivated varieties such as cantaloupe and honeydew, widely grown for their sweet, edible fruit.
-
D.
الكرمة
الكرمة هي مدينة عراقية تقع في محافظة الأنبار وتُعد من المناطق القريبة من الفلوجة وبغداد.
-
E.
Cavaillon melon
The Cavaillon melon is a highly prized French variety of cantaloupe known for its sweet, fragrant orange flesh and association with the Provence region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451444e008190944d9668d4d901fa |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.