Triple
T22194299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uniformed Capabilities Support Office |
E548507
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UCSO |
—
|
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: UCSO | Statement: [Uniformed Capabilities Support Office, abbreviation, UCSO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCSO Context triple: [Uniformed Capabilities Support Office, abbreviation, UCSO]
-
A.
UCSO
chosen
UCSO is the abbreviation for the Uniformed Capabilities Support Office, a U.S. Department of Defense organization that coordinates and supports capability development for uniformed services.
-
B.
ORSU
ORSU is the ICAO airport code assigned to Sulaimaniyah International Airport in the Kurdistan Region of Iraq.
-
C.
UWSG
UWSG is the ICAO airport code assigned to Saratov Gagarin Airport in Russia.
-
D.
UES
UES is the main public university in El Salvador, recognized for its broad range of academic programs and significant role in the country’s higher education system.
-
E.
USSS
USSS is the ICAO airport code for Koltsovo International Airport, a major airport serving Yekaterinburg, Russia.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae622ac8190b4fc9e6e4ccd0726 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.