Triple
T28019903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trix |
E707656
|
entity |
| Predicate | scaleProduced |
P47413
|
FINISHED |
| Object | HO scale |
—
|
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: HO scale | Statement: [Trix, scaleProduced, HO scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleProduced Context triple: [Trix, scaleProduced, HO scale]
-
A.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
B.
productionScale
chosen
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
C.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
D.
peakProductionRate
Indicates the maximum rate at which something can be produced over a given period under specified conditions.
-
E.
productionCapacity
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 8:09 p.m.