Triple
T28057832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapsis |
E709015
|
entity |
| Predicate | portraysTechnology |
P142108
|
FINISHED |
| Object | quantum computing |
—
|
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: quantum computing | Statement: [Lapsis, portraysTechnology, quantum computing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysTechnology Context triple: [Lapsis, portraysTechnology, quantum computing]
-
A.
technologyDepiction
chosen
Indicates that one entity visually or narratively represents or illustrates a technology associated with another entity.
-
B.
portraysInnovation
Indicates that one entity depicts, represents, or conveys the idea of innovation in relation to another entity.
-
C.
technologyPresent
Indicates that a particular technology exists, is available, or is currently in use in the given context or situation.
-
D.
portraysDevice
Indicates that one entity visually represents or depicts a device in some medium or context.
-
E.
viewOnTechnology
Indicates how an entity perceives, evaluates, or holds opinions about technology and its role or impact.
- 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_69ef9b6eb6d88190a3fea236eb0f7bed |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 8:37 p.m.