Triple
T19660842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas DC-4 |
E472075
|
entity |
| Predicate | militaryDesignation |
P7137
|
FINISHED |
| Object |
R5D
R5D is the U.S. Navy’s military transport variant of the Douglas DC-4 airliner.
|
E1388171
|
NE FINISHED |
How this triple was built (4 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: R5D | Statement: [Douglas DC-4, militaryDesignation, R5D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R5D Context triple: [Douglas DC-4, militaryDesignation, R5D]
-
A.
R5
R5 is the common shorthand name for the Renault 5, a popular compact hatchback car produced by the French manufacturer Renault.
-
B.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
C.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
D.
R5
R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
-
E.
R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: R5D Triple: [Douglas DC-4, militaryDesignation, R5D]
Generated description
R5D is the U.S. Navy’s military transport variant of the Douglas DC-4 airliner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R5D Target entity description: R5D is the U.S. Navy’s military transport variant of the Douglas DC-4 airliner.
-
A.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
B.
R5
R5 is the common shorthand name for the Renault 5, a popular compact hatchback car produced by the French manufacturer Renault.
-
C.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
D.
R5
R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
-
E.
R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
- F. None of above. chosen
Provenance (5 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414a667c81909aad04a737773c7e |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ef7a9ec8190a86623fbd0c9fe00 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a07817a4748819081bbeff65e18d533 |
completed | May 15, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0782a6f66881909f88781f8f6c5b8f |
completed | May 15, 2026, 8:31 p.m. |
Created at: April 10, 2026, 1:45 p.m.