Triple
T1937925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCL |
E41485
|
entity |
| Predicate | fileTypeSCDMeaning |
P19006
|
FINISHED |
| Object | Substation Configuration Description |
—
|
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: Substation Configuration Description | Statement: [SCL, fileTypeSCDMeaning, Substation Configuration Description]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileTypeSCDMeaning Context triple: [SCL, fileTypeSCDMeaning, Substation Configuration Description]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
C.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
-
D.
documentationType
chosen
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
E.
semanticType
Indicates that something belongs to or is categorized under a particular semantic class or type based on its meaning.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c752fc81909baf38ff1cdeb18c |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.