Triple
T15637963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajrak textile |
E375992
|
entity |
| Predicate | productionInvolves |
P47069
|
FINISHED |
| Object | multiple washing stages |
—
|
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: multiple washing stages | Statement: [Ajrak textile, productionInvolves, multiple washing stages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionInvolves Context triple: [Ajrak textile, productionInvolves, multiple washing stages]
-
A.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
B.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
C.
partOfProduction
chosen
Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
-
D.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
E.
productionElement
Indicates that one entity functions as a component, ingredient, or constituent used in the creation, manufacture, or production 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.