Triple
T13780843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DR |
E331126
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | DR |
E331126
|
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: DR | Statement: [DR, shortName, DR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DR Context triple: [DR, shortName, DR]
-
A.
DR
chosen
DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
-
B.
DR
DR was the abbreviation for the Deutsche Reichsbahn, the state railway company of Germany (and later East Germany) that operated much of the country’s rail transport during the 20th century.
-
C.
RD
RD is the vehicle registration code used on license plates for the district of Rendsburg-Eckernförde in the German state of Schleswig-Holstein.
-
D.
DEN
DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
-
E.
DRA
DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b079013881908e9f5412e5dfb0b2 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.