Triple
T3604233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRR K4s |
E76330
|
entity |
| Predicate | configurationName |
P49896
|
FINISHED |
| Object | Pacific |
—
|
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: Pacific | Statement: [PRR K4s, configurationName, Pacific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationName Context triple: [PRR K4s, configurationName, Pacific]
-
A.
configurationLocation
Indicates the place or context where a configuration is stored, applied, or defined.
-
B.
configuration
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
C.
configurationFileExtension
Indicates the file extension used for a configuration file associated with an entity.
-
D.
configurationOptionIn
Indicates that a specific configuration option belongs to, or is defined within, a particular configuration set, context, or system.
-
E.
configurationLevel
Indicates the degree or tier of settings or parameters applied to configure something within a system or context.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1e07bc481908d9fce18d36d8e0d |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:22 p.m.