Triple
T20670125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSNN |
E507998
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | JSNN |
—
|
NE NERFINISHED |
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: JSNN | Statement: [JSNN, abbreviation, JSNN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JSNN Context triple: [JSNN, abbreviation, JSNN]
-
A.
JSNN
chosen
JSNN is a graduate-level academic and research institution focused on nanoscience and nanoengineering, jointly operated by North Carolina A&T State University and the University of North Carolina at Greensboro.
-
B.
JSN
JSN is a collaborative association of Jesuit secondary and pre-secondary schools in North America that supports their shared mission of Catholic, Jesuit education.
-
C.
JSO
JSO is the abbreviation for Japan’s Joint Staff Office, the central command organization of the Japan Self-Defense Forces responsible for joint military operations and planning.
-
D.
JJN
JJN is the IATA airport code for Quanzhou Jinjiang International Airport, a regional airport serving Quanzhou and the surrounding area in Fujian, China.
-
E.
JSB
JSB is the commonly used abbreviation for John Seely Brown, an American researcher and former chief scientist at Xerox PARC known for his work on organizational learning, innovation, and the social aspects of technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c735048190a01cb7692928d66e |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.