Triple
T15744884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-Drive Trolley |
E381695
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | I-Drive Trolley |
E381695
|
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: I-Drive Trolley | Statement: [I-Drive Trolley, branding, I-Drive Trolley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I-Drive Trolley Context triple: [I-Drive Trolley, branding, I-Drive Trolley]
-
A.
I-Drive trolley
chosen
The I-Drive trolley is a public transportation service in Orlando that shuttles visitors along International Drive to major attractions, shopping, and dining areas.
-
B.
M-Line Trolley
M-Line Trolley is a heritage streetcar system operating in Dallas, Texas, providing free public transportation along the McKinney Avenue and Uptown areas.
-
C.
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.
-
D.
E.ON Drive
E.ON Drive is E.ON’s electric mobility brand focused on providing charging infrastructure and services for electric vehicles.
-
E.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502c0c3c8190b8e512df307039c1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8307824881909ba85e4c3da65d28 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.