Triple
T146098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifelong Learning Machines program |
E3332
|
entity |
| Predicate | websiteType |
P69
|
FINISHED |
| Object | program information page on DARPA website |
—
|
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: program information page on DARPA website | Statement: [Lifelong Learning Machines program, websiteType, program information page on DARPA website]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: websiteType Context triple: [Lifelong Learning Machines program, websiteType, program information page on DARPA website]
-
A.
website
chosen
Indicates that one entity is the official website or web presence associated with another entity.
-
B.
site
Indicates that one entity is the physical or virtual location where another entity is situated, occurs, or is based.
-
C.
isOfficialPortalFor
Indicates that one entity serves as the recognized, authoritative portal or entry point for accessing information or services related to another entity.
-
D.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
company
Indicates that an entity is a business organization engaged in commercial, industrial, or professional activities.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a257ea7eac8190884a53453a9e0dd6 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a25656a4fc81908a87678ac3d28f93 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.