Triple
T2062120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Naval Intelligence |
E45812
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ONI |
E45812
|
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: ONI | Statement: [Office of Naval Intelligence, hasAbbreviation, ONI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONI Context triple: [Office of Naval Intelligence, hasAbbreviation, ONI]
-
A.
ONI
chosen
ONI is the commonly used abbreviation for the United States Navy’s Office of Naval Intelligence, its primary maritime intelligence agency.
-
B.
Oni
Oni is a small town in the Racha region of northwestern Georgia, known for its mountainous surroundings and traditional Georgian architecture.
-
C.
O.N.S.
O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
-
D.
Onex
Onex is a suburban municipality in western Switzerland located just outside the city of Geneva.
-
E.
ISTAR force
The ISTAR force is a Royal Air Force formation responsible for intelligence, surveillance, target acquisition, and reconnaissance operations using a range of specialized aircraft and systems.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d239b48190a9f303446cbe3aa6 |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae271fa66081908be6c685b9bd8aa4 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:40 p.m.