Triple
T5511230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pashmina shawls |
E144568
|
entity |
| Predicate | fiberDiameter |
P35372
|
FINISHED |
| Object | about 12–16 micrometres |
—
|
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: about 12–16 micrometres | Statement: [Pashmina shawls, fiberDiameter, about 12–16 micrometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiberDiameter Context triple: [Pashmina shawls, fiberDiameter, about 12–16 micrometres]
-
A.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
B.
fiberCharacteristic
chosen
Indicates a relationship where a specific characteristic or property is attributed to a fiber or fibrous material.
-
C.
structureDiameter
Indicates the measured diameter or width of a given structure.
-
D.
tunnelDiameterCharacteristic
Indicates the specified diameter-related property or measurement associated with a tunnel.
-
E.
typicalCaseDiameter
Indicates the usual or standard diameter value associated with an object or case in typical conditions.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4cbc2c819091fcbff5f39ceeb4 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.