Triple
T4242652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Army Research Office |
E95450
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ARO |
E95450
|
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: ARO | Statement: [U.S. Army Research Office, abbreviation, ARO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARO Context triple: [U.S. Army Research Office, abbreviation, ARO]
-
A.
ARO
chosen
ARO is the U.S. Army Research Office, a primary Army organization that funds and manages basic scientific research to support future military technologies and capabilities.
-
B.
Aro
Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
-
C.
AAR
AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
-
D.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
E.
AAR
AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e891bc08190831187da4f553f48 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a872fd6881908a3fbe37e7c35c92 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.