Triple
T15144232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Department of Transportation |
E361765
|
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.
DOT
DOT is the Philippine government agency responsible for promoting tourism, developing tourist destinations, and formulating national tourism policies.
-
C.
DOT
DOT (Din Offentlige Transport) is the joint public transport authority and brand coordinating buses, trains, and metro services in Denmark’s Capital Region and Zealand.
-
D.
Dot
Dot is a young, adventurous ant princess from Pixar's animated film "A Bug's Life."
-
E.
Dot
Dot is a stage play by Colman Domingo that explores family dynamics and the challenges of caring for a matriarch with dementia during the holidays.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfee0ae48190a36523d3eeae9740 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.