Triple
T22929001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rental Car Center |
E569384
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | MIA Mover |
—
|
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: MIA Mover | Statement: [Rental Car Center, connectedTo, MIA Mover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIA Mover Context triple: [Rental Car Center, connectedTo, MIA Mover]
-
A.
MIA Mover
chosen
The MIA Mover is an automated people mover system that transports passengers between Miami International Airport and the nearby Miami Intermodal Center transportation hub.
-
B.
Omnimover
Omnimover is a continuously moving ride system used in Disney theme park attractions to transport guests smoothly through elaborately themed environments.
-
C.
Movia
Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
-
D.
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
-
E.
Mireo
Mireo is a family of modern regional and commuter trains developed by Siemens Mobility, known for their energy efficiency, modular design, and suitability for short- to medium-distance rail services.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180db6db88190bc8efb691dcdfdba |
completed | April 29, 2026, 3:54 a.m. |
Created at: April 17, 2026, 3:44 p.m.