Triple
T18145357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DPDgroup |
E434374
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | BRT |
—
|
NE NERFINISHED |
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: BRT | Statement: [DPDgroup, brand, BRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRT Context triple: [DPDgroup, brand, BRT]
-
A.
BRT
BRT is the standard time zone used in much of eastern Brazil, including major cities like Brasília and Rio de Janeiro, typically three hours behind Coordinated Universal Time (UTC−3).
-
B.
BRT
BRT was the common abbreviation for the Brooklyn Rapid Transit Company, a major early 20th-century transit operator that helped develop Brooklyn’s subway and elevated rail system.
-
C.
BRT
chosen
BRT is a bus rapid transit system designed to provide high-capacity, efficient public transportation using dedicated lanes and priority infrastructure.
-
D.
BRT
BRT is the ICAO airline designator assigned to BA Connect, a former British regional airline that operated domestic and European services.
-
E.
BRT
BRT is Tehran’s bus rapid transit system, providing high-capacity, dedicated-lane bus services across the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de33921c8190b6f645ca63fd146b |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.