Triple
T12278806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taxi |
E292660
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object |
Sunshine Cab Company
Sunshine Cab Company is the fictional New York City taxi depot and workplace featured in the classic television sitcom "Taxi."
|
E975912
|
NE FINISHED |
How this triple was built (4 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: Sunshine Cab Company | Statement: [Taxi, setting, Sunshine Cab Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunshine Cab Company Context triple: [Taxi, setting, Sunshine Cab Company]
-
A.
National Motor Cab Company
The National Motor Cab Company was an early 20th-century British taxi firm involved in motorized cab services in London.
-
B.
Meru Cabs
Meru Cabs is an Indian radio taxi and ride-hailing company that was one of the country’s early organized cab service providers.
-
C.
GrabTaxi
GrabTaxi is a Southeast Asian ride-hailing and transportation platform that began as MyTeksi in Malaysia before expanding regionally under the Grab brand.
-
D.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
E.
Mega Cabs
Mega Cabs is an Indian radio taxi service company that operates in multiple cities, offering app- and call-based cab bookings similar to other organized taxi operators.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sunshine Cab Company Triple: [Taxi, setting, Sunshine Cab Company]
Generated description
Sunshine Cab Company is the fictional New York City taxi depot and workplace featured in the classic television sitcom "Taxi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunshine Cab Company Target entity description: Sunshine Cab Company is the fictional New York City taxi depot and workplace featured in the classic television sitcom "Taxi."
-
A.
National Motor Cab Company
The National Motor Cab Company was an early 20th-century British taxi firm involved in motorized cab services in London.
-
B.
Meru Cabs
Meru Cabs is an Indian radio taxi and ride-hailing company that was one of the country’s early organized cab service providers.
-
C.
GrabTaxi
GrabTaxi is a Southeast Asian ride-hailing and transportation platform that began as MyTeksi in Malaysia before expanding regionally under the Grab brand.
-
D.
Lyft
Lyft is a major American ride-hailing and transportation company that connects passengers with drivers through a mobile app platform.
-
E.
Mega Cabs
Mega Cabs is an Indian radio taxi service company that operates in multiple cities, offering app- and call-based cab bookings similar to other organized taxi operators.
- F. None of above. chosen
Provenance (5 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6f46f08190839ba07ef6fac984 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622de74f0819096c5f5bf6f938fe7 |
completed | May 2, 2026, 4:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62379746c8190bc9da48775b86dfa |
completed | May 2, 2026, 4:16 p.m. |
Created at: April 8, 2026, 9:52 p.m.