Triple
T12377305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Wellesley |
E295156
|
entity |
| Predicate | servedByHighway |
P385
|
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: [Town of Wellesley, servedByHighway, Route 9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 9 Context triple: [Town of Wellesley, servedByHighway, 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 9
Route 9 is a major state highway in Connecticut that serves as a key north–south arterial route linking central Connecticut communities and connecting to other primary regional highways.
-
D.
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.
-
E.
Route 9D
Route 9D is a scenic state highway running along the eastern bank of the Hudson River in New York, connecting riverfront towns and popular outdoor recreation areas.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634760210819080bc0261aa059132 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.