Triple
T7534806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayreville, New Jersey |
E178119
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object | Route 35 |
E214503
|
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 35 | Statement: [Sayreville, New Jersey, hasTransportation, Route 35]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 35 Context triple: [Sayreville, New Jersey, hasTransportation, Route 35]
-
A.
Route 35
chosen
Route 35 is a major New Jersey state highway running along the central Jersey Shore and through several urban and suburban communities.
-
B.
Route 36
Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
-
C.
Route 36
Route 36 is a major New Jersey state highway that runs through coastal Monmouth County, providing access to communities such as Sandy Hook and other nearby shore areas.
-
D.
Route 31
Route 31 is a major north–south state highway in New Jersey that connects several central and northwestern communities, serving as a key regional transportation corridor.
-
E.
Route 32
Route 32 is a state highway in New York that runs through several communities in the Hudson Valley and central parts of the state.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b687708190a1fe1351be70616b |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:47 p.m.