Triple
T8826841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BB 26000 |
E210035
|
entity |
| Predicate | productionTotal |
P7997
|
FINISHED |
| Object | 234 |
—
|
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: 234 | Statement: [BB 26000, productionTotal, 234]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionTotal Context triple: [BB 26000, productionTotal, 234]
-
A.
totalProduction
chosen
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
B.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
C.
productionScale
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
D.
productionValue
Indicates the quantitative amount or worth of output generated in a production process or activity.
-
E.
productionBase
Indicates a relationship where one entity serves as the primary site, facility, or foundation used for producing or manufacturing something for another 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6034e8dc819099116d772e87569a |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.