Triple
T23448685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carré Hermès silk scarf |
E565612
|
entity |
| Predicate | careInstructions |
P152332
|
FINISHED |
| Object | dry clean only |
—
|
LITERAL 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: dry clean only | Statement: [Carré Hermès silk scarf, careInstructions, dry clean only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careInstructions Context triple: [Carré Hermès silk scarf, careInstructions, dry clean only]
-
A.
careApproach
Indicates the method, strategy, or manner in which care or support is provided to someone or something.
-
B.
care
Indicates showing concern, attention, or responsibility for the well-being or needs of another entity.
-
C.
requiresCare
Indicates that one entity depends on another to provide care, attention, or maintenance for its proper functioning or well-being.
-
D.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
E.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
- F. None of above. chosen
Provenance (4 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64b27988190b4722425da964407 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:52 p.m.