Triple
T1866948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Framingham |
E34942
|
entity |
| Predicate | locatedAlong |
P2409
|
FINISHED |
| Object |
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.
|
E220114
|
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 30 | Statement: [Framingham, locatedAlong, Route 30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 30 Context triple: [Framingham, locatedAlong, Route 30]
-
A.
Route 36
Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest 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 34
Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
-
D.
Route 28
Route 28 is a major north–south state highway in Massachusetts that runs from the Cape Cod area through Boston and into New Hampshire, serving as a key regional arterial road.
-
E.
Route 62
Route 62 is a regional roadway that serves as a key connector through parts of Massachusetts, including the area near West Concord.
- 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 30 Triple: [Framingham, locatedAlong, Route 30]
Generated description
Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Route 30 Target entity description: Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
-
A.
Route 36
Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest 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 34
Route 34 is a SEPTA subway–surface trolley line in Philadelphia that runs between Center City and West Philadelphia.
-
D.
Route 28
Route 28 is a major north–south state highway in Massachusetts that runs from the Cape Cod area through Boston and into New Hampshire, serving as a key regional arterial road.
-
E.
Route 62
Route 62 is a regional roadway that serves as a key connector through parts of Massachusetts, including the area near West Concord.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0b5978c81909390f2cbd716ccaf |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfba49f0c8190a6db188f201a6da6 |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfd0f374c8190a75d3a25373e3364 |
completed | March 8, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd713c4081908a2fae2fada76dae |
completed | March 8, 2026, 10:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.