Triple
T11657491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp |
E277046
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Healsio |
E383933
|
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: Healsio | Statement: [Sharp, brand, Healsio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Healsio Context triple: [Sharp, brand, Healsio]
-
A.
Healsio
chosen
Healsio is a line of health-focused kitchen appliances by Sharp, best known for its steam ovens that cook with reduced oil and salt.
-
B.
Wellin
Wellin is a small municipality and town located in the Luxembourg Province of Wallonia in southern Belgium.
-
C.
Iron Medics
Iron Medics is the nickname of the U.S. Army’s 1st Medical Brigade, a unit known for providing comprehensive medical support to military operations.
-
D.
Saludecio
Saludecio is a small historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and scenic position in the hills near the Adriatic coast.
-
E.
Procanico
Procanico is an Italian white grape variety, considered a local form of Trebbiano, commonly used in central Italian wines such as those from Umbria and Tuscany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88166900819095063f045be44bed |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.