Triple
T2427431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Department of the Army |
E53563
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DA |
E53563
|
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: DA | Statement: [United States Department of the Army, abbreviation, DA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DA Context triple: [United States Department of the Army, abbreviation, DA]
-
A.
DA
chosen
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
B.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
-
D.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
E.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99d0b1c8190bf0a94fa07919d21 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf637be4819096874a24e87f84ab |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:42 p.m.