Triple
T14342903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | java.nio |
E355645
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | java.nio.Buffer |
E355645
|
NE 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: java.nio.Buffer | Statement: [java.nio, contains, java.nio.Buffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: java.nio.Buffer Context triple: [java.nio, contains, java.nio.Buffer]
-
A.
java.nio
chosen
java.nio is a Java API package that provides non-blocking I/O, buffer management, and scalable channel-based input/output operations.
-
B.
Buffer
Buffer is a surname most famously associated with American ring announcer Michael Buffer, known for his catchphrase "Let's get ready to rumble!"
-
C.
NIO
NIO is a Chinese electric vehicle manufacturer known for its premium smart EVs and innovative battery-swapping technology.
-
D.
BUF
BUF is the standard three-letter abbreviation used for the NHL’s Buffalo Sabres.
-
E.
BUF
BUF is the station code for Buffalo–Depew, a key Amtrak passenger rail station serving the Buffalo, New York area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e87febc8190a63c668cbd0fd713 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.