Triple
T609451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K4s Pacific |
E12064
|
entity |
| Predicate | totalProduced |
P7997
|
FINISHED |
| Object | 425 |
—
|
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: 425 | Statement: [K4s Pacific, totalProduced, 425]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalProduced Context triple: [K4s Pacific, totalProduced, 425]
-
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.
massProduced
Indicates that an item is manufactured in large quantities, typically using standardized, industrial production processes.
-
C.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
numberOfIsotopesProduced
Indicates the quantity of distinct isotopes that are generated or obtained from a specified process, reaction, or source.
-
E.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df68f2c8190a0ee9da4692b2a62 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.