Triple
T21342359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Route 135 |
E526228
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Framingham |
—
|
NE NERFINISHED |
How this triple was built (2 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: Framingham | Statement: [Massachusetts Route 135, passesThrough, Framingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Framingham Context triple: [Massachusetts Route 135, passesThrough, Framingham]
-
A.
Framingham
chosen
Framingham is a suburban city in eastern Massachusetts known for its residential communities, retail centers, and location along major routes west of Boston.
-
B.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
C.
Stoneham
Stoneham is an English-origin surname borne by various notable individuals, including figures in American sports and politics.
-
D.
Andover
Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
-
E.
Andover
Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a84fa8088190afda63af7f4ce586 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 16, 2026, 4:44 p.m.