Triple
T9167629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Route 537 |
E220000
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object |
Route 33 Business
Route 33 Business is a business route of New Jersey Route 33 that serves local traffic and commercial areas in the region.
|
E782358
|
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: Route 33 Business | Statement: [County Route 537, crosses, Route 33 Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 33 Business Context triple: [County Route 537, crosses, Route 33 Business]
-
A.
U.S. Route 30 Business
U.S. Route 30 Business is a business route of U.S. Route 30 that serves local traffic and commercial areas in communities such as Thorndale, Pennsylvania.
-
B.
Route 34
Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
-
C.
Route 35
Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
-
D.
Route 36
Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
-
E.
Route 36
Route 36 is a major New Jersey state highway that runs through coastal Monmouth County, providing access to communities such as Sandy Hook and other nearby shore areas.
- 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: Route 33 Business Triple: [County Route 537, crosses, Route 33 Business]
Generated description
Route 33 Business is a business route of New Jersey Route 33 that serves local traffic and commercial areas in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Route 33 Business Target entity description: Route 33 Business is a business route of New Jersey Route 33 that serves local traffic and commercial areas in the region.
-
A.
U.S. Route 30 Business
U.S. Route 30 Business is a business route of U.S. Route 30 that serves local traffic and commercial areas in communities such as Thorndale, Pennsylvania.
-
B.
Route 34
Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
-
C.
Route 35
Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
-
D.
Route 36
Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
-
E.
Route 36
Route 36 is a major New Jersey state highway that runs through coastal Monmouth County, providing access to communities such as Sandy Hook and other nearby shore areas.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaadfb50881909b9127f92e4b3e21 |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05491ccec819093fcf2d764c5381b |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d05628d8708190a85437c5051a5a05 |
completed | April 4, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d056e4ad98819086e73edf15aa6210 |
completed | April 4, 2026, 12:10 a.m. |
Created at: March 30, 2026, 7:22 p.m.