Triple
T10940376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 237 |
E258452
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SR 237
SR 237 is a state highway designation used for specific numbered routes within various U.S. state highway systems.
|
E895307
|
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 237 | Statement: [State Route 237, abbreviation, SR 237]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SR 237 Context triple: [State Route 237, abbreviation, SR 237]
-
A.
SR 238
SR 238 is a state highway in California that runs through the East Bay region, connecting the cities of Fremont, Union City, Hayward, and San Leandro.
-
B.
SR 27
SR 27 is a state highway in Maine that runs north–south, connecting coastal communities with inland towns and recreational areas.
-
C.
SR 27
SR 27 is a state highway in Georgia that runs east–west across the southeastern part of the state, connecting several small towns and regional routes.
-
D.
SR 27
SR 27 is a state highway in Alabama that serves as a regional connector route through the southeastern part of the state.
-
E.
SR 236
SR 236 is a primary state highway in Northern Virginia commonly known as Little River Turnpike, connecting Fairfax and Alexandria.
- 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 237 Triple: [State Route 237, abbreviation, SR 237]
Generated description
SR 237 is a state highway designation used for specific numbered routes within various U.S. state highway systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SR 237 Target entity description: SR 237 is a state highway designation used for specific numbered routes within various U.S. state highway systems.
-
A.
SR 238
SR 238 is a state highway in California that runs through the East Bay region, connecting the cities of Fremont, Union City, Hayward, and San Leandro.
-
B.
SR 27
SR 27 is a state highway in Maine that runs north–south, connecting coastal communities with inland towns and recreational areas.
-
C.
SR 27
SR 27 is a state highway in Georgia that runs east–west across the southeastern part of the state, connecting several small towns and regional routes.
-
D.
SR 27
SR 27 is a state highway in Alabama that serves as a regional connector route through the southeastern part of the state.
-
E.
SR 236
SR 236 is a primary state highway in Northern Virginia commonly known as Little River Turnpike, connecting Fairfax and Alexandria.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c2821c8190a7b08276c4bfbf33 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c0e940081908c84ea4cf3b877fc |
completed | April 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_69e24541cbb481908f14a9cb2787c118 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f48dc88190af9491e8cdc4a532 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.