Triple
T1866947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Framingham |
E34942
|
entity |
| Predicate | locatedAlong |
P2409
|
FINISHED |
| Object | Route 9 |
E25118
|
NE FINISHED |
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: Route 9 | Statement: [Framingham, locatedAlong, Route 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 9 Context triple: [Framingham, locatedAlong, Route 9]
-
A.
Route 9
Route 9 is a strategically important road in Quảng Trị Province, Vietnam, that served as a key supply and military route near the Demilitarized Zone during the Vietnam War.
-
B.
Route 9
chosen
Route 9 is a major east–west arterial roadway in Massachusetts that connects Boston with its western suburbs and serves as a key commuter and commercial corridor.
-
C.
Route 99
Route 99 is a state highway in Massachusetts that runs north of Boston, serving as a key urban connector through cities such as Everett and Malden.
-
D.
Route 27
Route 27 is a major north–south state highway in New Jersey that runs through several central and northern communities, serving as a key local and commuter route.
-
E.
Route 11
Route 11 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s southwestern neighborhoods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69add1d8dd8881909189029a047bc2b4 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.