Triple
T7936757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Object Management Group |
E184304
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | UAF |
E630718
|
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: UAF | Statement: [Object Management Group, knownFor, UAF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UAF Context triple: [Object Management Group, knownFor, UAF]
-
A.
UAA
UAA is the stock ticker symbol for Under Armour, an American sportswear and athletic apparel company traded on the New York Stock Exchange.
-
B.
U of F
U of F is a common informal abbreviation for the University of Florida, a major public research university in Gainesville, Florida.
-
C.
UTA
UTA is the ICAO airline designator used to identify UTair Aviation in international aviation operations.
-
D.
UTA
UTA is the three-letter IATA airport code assigned to Mutare Airport in Zimbabwe.
-
E.
UAF Troth Yeddha’ Campus
chosen
UAF Troth Yeddha’ Campus is the main campus of the University of Alaska Fairbanks, serving as its central hub for academic, research, and student life activities.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aede3cc81908b0d3b54e68997b9 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0a96ac819099ad30fb925eb329 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.