Triple
T114250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Department of Transportation |
E2308
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DOT |
E2308
|
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: DOT | Statement: [United States Department of Transportation, abbreviation, DOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DOT Context triple: [United States Department of Transportation, abbreviation, DOT]
-
A.
DOT
chosen
DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
-
B.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
C.
DELTA
DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
.ng
.ng is the country code top-level domain (ccTLD) assigned to Nigeria for use in its internet addresses.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256effaac81908c22be65d9f668a4 |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2850039588190a5f3ec0ba1b3cdda |
completed | Feb. 28, 2026, 6:02 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.