Triple
T6328025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Analytical Engine |
E141905
|
entity |
| Predicate | anticipatedConcept |
P201
|
FINISHED |
| Object | general-purpose 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: general-purpose computer | Statement: [Analytical Engine, anticipatedConcept, general-purpose computer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anticipatedConcept Context triple: [Analytical Engine, anticipatedConcept, general-purpose computer]
-
A.
anticipates
Indicates that one entity expects or predicts a future event, action, or state involving another entity before it actually occurs.
-
B.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
C.
introducedConcept
chosen
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
-
D.
hasPlanningConcept
Indicates that an entity is associated with, defined by, or governed by a particular planning-related concept or framework.
-
E.
predictedIn
Indicates that something has been forecast, anticipated, or estimated to occur within or as part of a specified context, time, or situation.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.