Triple
T2692908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyft Pink |
E58444
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Lyft bikes and scooters |
E7323
|
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: Lyft bikes and scooters | Statement: [Lyft Pink, relatedTo, Lyft bikes and scooters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyft bikes and scooters Context triple: [Lyft Pink, relatedTo, Lyft bikes and scooters]
-
A.
Ofo
Ofo were a Native American people historically located in the Southeastern Woodlands, known for their Siouan language and eventual migration into present-day Mississippi and Louisiana.
-
B.
Lyft
chosen
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
C.
Lyft Pink
Lyft Pink is Lyft’s paid membership program that offers riders benefits like discounted fares, priority support, and other perks on the Lyft platform.
-
D.
Byfleet
Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
-
E.
Ola Bike
Ola Bike is a bike-taxi service operated by Indian ride-hailing company Ola, providing affordable two-wheeler rides for short-distance urban travel.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0dd97c81909a60cf200f57c087 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6501088190b8fe1ba8de4f6e00 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:54 p.m.