Triple
T121698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xerox Alto user interface |
E2458
|
entity |
| Predicate | researchContext |
P5064
|
FINISHED |
| Object | office automation |
—
|
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: office automation | Statement: [Xerox Alto user interface, researchContext, office automation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchContext Context triple: [Xerox Alto user interface, researchContext, office automation]
-
A.
researchClassification
Indicates that an entity is assigned a specific category or type within a research-related classification scheme.
-
B.
researchProgram
Indicates that an entity is engaged in, associated with, or part of a structured research initiative or program.
-
C.
researchStrength
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
-
D.
researchApproach
Indicates the methodological strategy or set of methods used to conduct and structure a research activity or investigation.
-
E.
researchLevel
Indicates the degree or stage of research activity, expertise, or advancement associated with an entity in a given context.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25739ef28819093f3f0e6bb670201 |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.