Triple
T11096404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DG Research and Innovation |
E262389
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | DG RTD |
E262390
|
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: DG RTD | Statement: [DG Research and Innovation, shortName, DG RTD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DG RTD Context triple: [DG Research and Innovation, shortName, DG RTD]
-
A.
DG RTD
chosen
DG RTD is the European Commission’s Directorate-General responsible for EU policy on research, science, and innovation.
-
B.
RTD
RTD is the primary public transit agency serving the Denver metropolitan area in Colorado, operating buses, light rail, and commuter rail services.
-
C.
RTD
RTD was the former name of Arquus, a French manufacturer specializing in military and defense vehicles.
-
D.
RTD
RTD is the commonly used abbreviation for the ASME Rail Transportation Division, a professional group focused on rail engineering and technology within the American Society of Mechanical Engineers.
-
E.
DRT
DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0a02cc8190a15df663d4860163 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7eca9bc8190b43bae081d97d804 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.