Triple
T16949137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joint Special Operations University |
E411139
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | JSOU |
E411139
|
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: JSOU | Statement: [Joint Special Operations University, shortName, JSOU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JSOU Context triple: [Joint Special Operations University, shortName, JSOU]
-
A.
JSOU
chosen
JSOU is a U.S. Department of Defense educational institution that provides professional military education and research focused on special operations forces and irregular warfare.
-
B.
SJU
SJU is the IATA airport code for Luis Muñoz Marín International Airport, the main commercial air gateway to San Juan and Puerto Rico.
-
C.
KSOU
KSOU is a public distance-learning university based in Karnataka, India, offering a wide range of undergraduate and postgraduate programs through open and online education.
-
D.
YSU
YSU is a public research university located in Youngstown, Ohio, known for its diverse academic programs and strong regional presence.
-
E.
NSOU
NSOU is a distance-learning public university in West Bengal, India, named after freedom fighter Netaji Subhas Chandra Bose.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb4b1b08190b608d36a209ed6bd |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfeeee948190a5c8904d1f559a28 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:31 a.m.