Triple
T36581043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountmellick |
E902394
|
entity |
| Predicate | embroideryUse |
P186202
|
FINISHED |
| Object | household linens |
—
|
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: household linens | Statement: [Mountmellick, embroideryUse, household linens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: embroideryUse Context triple: [Mountmellick, embroideryUse, household linens]
-
A.
textileFeature
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
B.
stitchTypeUsed
Indicates that a particular type of stitch is employed in performing or constructing the referenced action or object.
-
C.
textileType
Indicates the specific kind or category of textile material associated with an entity.
-
D.
usedInMerchandise
Indicates that something (such as a work, character, or design) is utilized or featured as part of a merchandise item.
-
E.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:11 p.m.