Triple
T19324426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of Woodbridge |
E483310
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Route 27 |
—
|
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: Route 27 | Statement: [Township of Woodbridge, traversedBy, Route 27]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 27 Context triple: [Township of Woodbridge, traversedBy, Route 27]
-
A.
Route 27
chosen
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.
-
B.
Route 27
Route 27 is a regional roadway in Massachusetts that serves as a key connector between several suburban communities west of Boston.
-
C.
Route 23
Route 23 is a major state highway in New Jersey that runs generally north–south, connecting suburban and rural communities to the New York metropolitan area.
-
D.
Route 24
Route 24 is a major highway in Massachusetts that provides regional north–south access through communities including Randolph.
-
E.
Route 42
Route 42 is a major highway in southern New Jersey that serves as a key connector between the Philadelphia area and shore destinations in Gloucester and neighboring counties.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8af43c81908e5a8780c35a8e1d |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.