Triple
T9248176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM 135 |
E222250
|
entity |
| Predicate | dataProcessingRole |
P24646
|
FINISHED |
| Object | central host computer |
—
|
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: central host computer | Statement: [IBM 135, dataProcessingRole, central host computer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataProcessingRole Context triple: [IBM 135, dataProcessingRole, central host computer]
-
A.
technologyRole
chosen
Indicates the functional role or purpose that a technology plays within a system, process, or context.
-
B.
developmentRole
Indicates that an entity participates in the creation, design, or production of another entity in a specific developmental capacity or function.
-
C.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
D.
roleInIntegration
Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
-
E.
laterOperationalRole
Indicates that an entity assumes or is assigned a subsequent operational role after an earlier one in time.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f6d62c8190a1e33f1854767b47 |
completed | April 1, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:31 p.m.