Triple
T4871202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudraksha beads |
E109087
|
entity |
| Predicate | stringingMaterial |
P1272
|
FINISHED |
| Object | cotton thread |
—
|
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: cotton thread | Statement: [Rudraksha beads, stringingMaterial, cotton thread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stringingMaterial Context triple: [Rudraksha beads, stringingMaterial, cotton thread]
-
A.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
stitchTypeUsed
Indicates that a particular type of stitch is employed in performing or constructing the referenced action or object.
-
C.
stringiness
Indicates the degree to which something exhibits a fibrous, stretchy, or string-like quality in its texture or structure.
-
D.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
E.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.