Triple
T37697968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woolite |
E938978
|
entity |
| Predicate | availableForm |
P18099
|
FINISHED |
| Object | liquid detergent |
—
|
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: liquid detergent | Statement: [Woolite, availableForm, liquid detergent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableForm Context triple: [Woolite, availableForm, liquid detergent]
-
A.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
B.
canTakeForm
Indicates that one entity is capable of assuming, transforming into, or being represented as the form or appearance of another entity.
-
C.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
D.
laterForms
Indicates that one entity is a subsequent or more recent form, version, or stage of another entity in a temporal or developmental sequence.
-
E.
alternativeForm
chosen
Indicates that one entity is an alternative version, variant, or representation of another entity.
- F. None of above.
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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:18 p.m.