Triple
T12973509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gun Lamp series |
E321462
|
entity |
| Predicate | shadeMaterial |
P107856
|
FINISHED |
| Object | paper lampshade |
—
|
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: paper lampshade | Statement: [Gun Lamp series, shadeMaterial, paper lampshade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shadeMaterial Context triple: [Gun Lamp series, shadeMaterial, paper lampshade]
-
A.
terrainMaterial
Indicates the type of physical surface or ground substance that composes a given terrain.
-
B.
matrixMaterial
Indicates that one material serves as the continuous matrix phase in which another component or reinforcement is embedded.
-
C.
materialEffect
Indicates that one material causes, influences, or brings about a change in the properties, behavior, or state of another material or system.
-
D.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
E.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97f1badac8190a59e60751f47b8d6 |
completed | April 10, 2026, 10:52 p.m. |
Created at: April 9, 2026, 8:36 p.m.