Triple
T22444545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenJS World |
E554831
|
entity |
| Predicate | hasNetworkingOpportunities |
P44150
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [OpenJS World, hasNetworkingOpportunities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetworkingOpportunities Context triple: [OpenJS World, hasNetworkingOpportunities, yes]
-
A.
networkingOpportunityFor
chosen
Indicates that one entity provides or represents a chance for another entity to make professional or social connections.
-
B.
hasDevelopmentOpportunity
Indicates that an entity offers or possesses a potential for growth, improvement, or advancement, typically in skills, performance, or capabilities.
-
C.
hasNotableConnectionToWork
Indicates that there is a significant or noteworthy relationship, influence, or association between an entity and a particular work.
-
D.
hasAlumniNetwork
Indicates that an entity maintains or is associated with an organized network or community of its former members or graduates.
-
E.
laterNetworkOfWork
Indicates that one work is created or occurs later in time than another work within the same network or sequence of related works.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae517208190924a7968723f55ef |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.