Triple
T9167627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Route 537 |
E220000
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object |
Route 34
Route 34 is a state highway in New Jersey that serves as a key north–south arterial road connecting several communities and major routes in the central part of the state.
|
E785768
|
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 34 | Statement: [County Route 537, crosses, Route 34]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 34 Context triple: [County Route 537, crosses, Route 34]
-
A.
Route 34
Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
-
B.
Route 35
Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
-
C.
Route 32
Route 32 is a state highway in New York that runs through several communities in the Hudson Valley and central parts of the state.
-
D.
Route 30
Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
-
E.
Route 36
Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
- 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 34 Triple: [County Route 537, crosses, Route 34]
Generated description
Route 34 is a state highway in New Jersey that serves as a key north–south arterial road connecting several communities and major routes in the central part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Route 34 Target entity description: Route 34 is a state highway in New Jersey that serves as a key north–south arterial road connecting several communities and major routes in the central part of the state.
-
A.
Route 34
Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
-
B.
Route 35
Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
-
C.
Route 32
Route 32 is a state highway in New York that runs through several communities in the Hudson Valley and central parts of the state.
-
D.
Route 30
Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
-
E.
Route 36
Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
- 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_69d065cd42f481909ad3c68372041b1a |
completed | April 4, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69d0676ea53c81908b16dfce6810f6b0 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0684c1a108190bc7fdfdced16e24c |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:22 p.m.