Triple
T5911736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little River Turnpike |
E131475
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 236
SR 236 is a primary state highway in Northern Virginia commonly known as Little River Turnpike, connecting Fairfax and Alexandria.
|
E556846
|
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: SR 236 | Statement: [Little River Turnpike, abbreviation, SR 236]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 236 Context triple: [Little River Turnpike, abbreviation, SR 236]
-
A.
SR 266
SR 266 is a state highway in Georgia that serves as a regional connector route within the state's road network.
-
B.
SR 269
SR 269 is a short state highway in Florida that serves local traffic in the state's northern region.
-
C.
SR 316
SR 316 is a major east–west state highway in Georgia that connects the Atlanta metropolitan area with the city of Athens.
-
D.
SR 243
SR 243 is a short primary state highway in Fairfax County, Virginia, serving as a connector route in the suburban Washington, D.C. metropolitan area.
-
E.
SR 32
SR 32 is a major east–west state highway in Ohio that spans much of the southern part of the state, connecting Cincinnati to the Ohio River valley and Appalachian regions.
- 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: SR 236 Triple: [Little River Turnpike, abbreviation, SR 236]
Generated description
SR 236 is a primary state highway in Northern Virginia commonly known as Little River Turnpike, connecting Fairfax and Alexandria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 236 Target entity description: SR 236 is a primary state highway in Northern Virginia commonly known as Little River Turnpike, connecting Fairfax and Alexandria.
-
A.
SR 266
SR 266 is a state highway in Georgia that serves as a regional connector route within the state's road network.
-
B.
SR 269
SR 269 is a short state highway in Florida that serves local traffic in the state's northern region.
-
C.
SR 316
SR 316 is a major east–west state highway in Georgia that connects the Atlanta metropolitan area with the city of Athens.
-
D.
SR 243
SR 243 is a short primary state highway in Fairfax County, Virginia, serving as a connector route in the suburban Washington, D.C. metropolitan area.
-
E.
SR 32
SR 32 is a major east–west state highway in Ohio that spans much of the southern part of the state, connecting Cincinnati to the Ohio River valley and Appalachian regions.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b6f48c8190b60a32e5f64fe254 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c015b90081909777ac5ed80e927c |
completed | March 23, 2026, 4:22 a.m. |
| NEDg | Description generation | batch_69c0c1bf78908190933360b1099b1444 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c240c3ac8190895c621c3d326bfd |
completed | March 23, 2026, 4:32 a.m. |
Created at: March 22, 2026, 3:59 p.m.