Triple
T21802539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IIH PDU |
E538271
|
entity |
| Predicate | carriesInformation |
P96690
|
FINISHED |
| Object | system ID |
—
|
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: system ID | Statement: [IIH PDU, carriesInformation, system ID]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriesInformation Context triple: [IIH PDU, carriesInformation, system ID]
-
A.
dataCarried
chosen
Indicates that some data is transported, transmitted, or conveyed by a particular medium, channel, or entity.
-
B.
informationCarrierType
Indicates the medium or format through which information is physically or digitally carried or delivered.
-
C.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
D.
typeOfInformation
Indicates that one entity specifies the category or kind of information that characterizes or describes another entity.
-
E.
alsoCarries
Indicates that an entity, in addition to other items or responsibilities it has, carries another specified item or load as well.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780062688190a6c3a2a0364f0f77 |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.