Triple
T8509295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottle Rack |
E201411
|
entity |
| Predicate | fabrication |
P76106
|
FINISHED |
| Object | industrial mass production |
—
|
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: industrial mass production | Statement: [Bottle Rack, fabrication, industrial mass production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fabrication Context triple: [Bottle Rack, fabrication, industrial mass production]
-
A.
fabricationTechnology
chosen
Indicates the manufacturing or production method used to create or realize an entity.
-
B.
coFabricator
Indicates that two or more entities jointly fabricate, construct, or produce something together.
-
C.
foundry
Indicates a relationship where an entity operates as or is associated with a foundry, typically involved in casting or producing metal or similar materials.
-
D.
fabricatedOn
Indicates that something was manufactured, constructed, or produced at a specific time or date.
-
E.
partOfProduction
Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.