Triple
T6348877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 13 trolley |
E142817
|
entity |
| Predicate | sharesTunnelWith |
P35459
|
FINISHED |
| Object | Route 34 trolley |
E143309
|
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 34 trolley | Statement: [Route 13 trolley, sharesTunnelWith, Route 34 trolley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 34 trolley Context triple: [Route 13 trolley, sharesTunnelWith, Route 34 trolley]
-
A.
Route 34 trolley
chosen
The Route 34 trolley is a SEPTA subway–surface streetcar line in Philadelphia that runs between Center City and West Philadelphia.
-
B.
Route 36 trolley
The Route 36 trolley is a SEPTA subway–surface streetcar line in Philadelphia that runs between Center City and Southwest Philadelphia.
-
C.
Route 13 trolley
The Route 13 trolley is a SEPTA streetcar line in Philadelphia that provides light rail service between Center City and neighborhoods to the southwest.
-
D.
Route 11 trolley
The Route 11 trolley is a SEPTA subway–surface streetcar line in Philadelphia that runs between Center City and the city’s southwestern neighborhoods.
-
E.
I-Ride Trolley
The I-Ride Trolley is a tourist-oriented trolley bus service that provides convenient transportation along Orlando’s International Drive resort and attractions 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bba1988190b51f0a22e4279e1b |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044fcd288190abdc5746e2904928 |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.