Triple
T20234852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PTH 101 |
E495622
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Route 180 |
—
|
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 180 | Statement: [PTH 101, connectsWith, Route 180]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 180 Context triple: [PTH 101, connectsWith, Route 180]
-
A.
Route 180
chosen
Route 180 is a state highway designated as State Route 180, typically serving as a regional connector road within its state's transportation network.
-
B.
Route 185
Route 185 is a numbered roadway that serves as a connector within the regional highway network linked to Route 440.
-
C.
Route 184
Route 184 is a numbered roadway that serves as a connector within a regional highway network, linking to other major routes such as Route 440.
-
D.
Route 160
Route 160 is a regional transportation route that serves as a key roadway connection for the city of Lota in Chile’s Biobío Region.
-
E.
Route 140
Route 140 is a state highway in Massachusetts that runs generally north–south, connecting several cities and towns between New Bedford and the Franklin area.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716995b88190a8514b41232b0e94 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.