Triple
T19633406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anacostia Freeway (I-295) |
E471327
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
DC-295
DC-295 is a major freeway in Washington, D.C. that serves as a key north–south commuter and regional traffic corridor.
|
E1386335
|
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: DC-295 | Statement: [Anacostia Freeway (I-295), connectsTo, DC-295]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC-295 Context triple: [Anacostia Freeway (I-295), connectsTo, DC-295]
-
A.
D290
D290 is a designated regional road identified by the route number D290 within a national road network.
-
B.
DC35
DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
-
C.
C-29
The C-29 is a U.S. military variant of the British Hawker Siddeley HS 125 business jet used primarily for transport and training roles.
-
D.
D-2500
D-2500 was the German civil-registered prototype and primary example of the Junkers G 38, a large all-metal four-engine transport aircraft of the late 1920s and early 1930s.
-
E.
C-95
C-95 is the Brazilian Air Force’s military transport and utility aircraft designation for the Embraer EMB-110 Bandeirante.
- 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: DC-295 Triple: [Anacostia Freeway (I-295), connectsTo, DC-295]
Generated description
DC-295 is a major freeway in Washington, D.C. that serves as a key north–south commuter and regional traffic corridor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DC-295 Target entity description: DC-295 is a major freeway in Washington, D.C. that serves as a key north–south commuter and regional traffic corridor.
-
A.
D290
D290 is a designated regional road identified by the route number D290 within a national road network.
-
B.
DC35
DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
-
C.
C-29
The C-29 is a U.S. military variant of the British Hawker Siddeley HS 125 business jet used primarily for transport and training roles.
-
D.
D-2500
D-2500 was the German civil-registered prototype and primary example of the Junkers G 38, a large all-metal four-engine transport aircraft of the late 1920s and early 1930s.
-
E.
C-95
C-95 is the Brazilian Air Force’s military transport and utility aircraft designation for the Embraer EMB-110 Bandeirante.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6410449ec8190b8c20c0e09cd9156 |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771c3fb608190ac10cb35014f1b5a |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07731b33f88190b34aa3f29ca530e9 |
completed | May 15, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0773de9e90819081e45eb66ccdfcee |
completed | May 15, 2026, 7:28 p.m. |
Created at: April 10, 2026, 1:44 p.m.