Triple
T29900062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JavaBeans |
E759384
|
entity |
| Predicate | eventModel |
P171285
|
FINISHED |
| Object | delegation event model |
—
|
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: delegation event model | Statement: [JavaBeans, eventModel, delegation event model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventModel Context triple: [JavaBeans, eventModel, delegation event model]
-
A.
eventManagement
Indicates the organization, coordination, and oversight of all activities and resources involved in planning and executing an event.
-
B.
eventName
Indicates the specific label or title assigned to identify an event within a system or context.
-
C.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
D.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
E.
eventScale
Indicates the relative magnitude or size at which an event occurs or is characterized.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 6:06 p.m.