Triple
T22488299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onionoo |
E555947
|
entity |
| Predicate | typicalEndpoint |
P148404
|
FINISHED |
| Object | /summary |
—
|
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: /summary | Statement: [Onionoo, typicalEndpoint, /summary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEndpoint Context triple: [Onionoo, typicalEndpoint, /summary]
-
A.
endPoint
Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
-
B.
endPointExample
Indicates that something serves as a representative or illustrative instance of a particular endpoint.
-
C.
typicalEndpointArea
Indicates that a location or region is the usual or characteristic area where an endpoint (such as a process, structure, or event outcome) occurs or is situated.
-
D.
secondaryEndpoint
Indicates that something serves as an additional, non-primary endpoint or target associated with a main endpoint in a relationship or process.
-
E.
typicalInterface
Indicates that one entity serves as the standard or commonly used interface through which another entity is accessed or interacted with.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3e73108190be5ca89ea96a85e4 |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:49 p.m.