Triple
T1937928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCL |
E41485
|
entity |
| Predicate | fileTypeIIDMeaning |
P33734
|
FINISHED |
| Object | Instantiated IED 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: Instantiated IED Description | Statement: [SCL, fileTypeIIDMeaning, Instantiated IED Description]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileTypeIIDMeaning Context triple: [SCL, fileTypeIIDMeaning, Instantiated IED Description]
-
A.
aidType
Indicates the type or category of assistance or support being provided in the relationship.
-
B.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
-
C.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
D.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
E.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
- 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_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. |
| PDg | Predicate description generation | batch_69abb25ef0ec8190b907963e9db0fe04 |
completed | March 7, 2026, 5:06 a.m. |
Created at: March 4, 2026, 7:36 p.m.