Triple
T4097684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Shore Plaza |
E87860
|
entity |
| Predicate | nearbyHighway |
P385
|
FINISHED |
| Object | Route 3 |
E295196
|
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 3 | Statement: [South Shore Plaza, nearbyHighway, Route 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 3 Context triple: [South Shore Plaza, nearbyHighway, Route 3]
-
A.
Route 3
chosen
Route 3 is a major east–west highway in northern New Jersey that connects the New Jersey Turnpike area to the Lincoln Tunnel approach into New York City.
-
B.
Route 5
Route 5 is a major Chilean highway forming the backbone of the country’s north–south road network as part of the Pan-American Highway.
-
C.
Route 30
Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
-
D.
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.
-
E.
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.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefce017708190a4d33753fd32a7bb |
completed | March 9, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b725788819091c6aaeccfb86964 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:40 p.m.