Triple
T12761952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flix SE |
E305016
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
FlixCar
FlixCar is a carpooling and ride-sharing service brand operated by mobility company Flix SE.
|
E1003202
|
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: FlixCar | Statement: [Flix SE, brand, FlixCar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FlixCar Context triple: [Flix SE, brand, FlixCar]
-
A.
CarRentals.com
CarRentals.com is an online car rental booking platform that allows users to compare and reserve vehicles from multiple rental companies worldwide.
-
B.
GrabCar
GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
-
C.
Green Car service
Green Car service is the first-class, reserved-seat offering on JR West Shinkansen trains, providing more spacious seating and enhanced onboard comfort compared to standard cars.
-
D.
GoCar
GoCar is Gojek’s app-based ride-hailing service that connects passengers with private car drivers for on-demand transportation.
-
E.
Avis
Avis is a historic rural municipality in Portugal’s Portalegre District, known for its medieval heritage and scenic Alentejo landscapes.
- 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: FlixCar Triple: [Flix SE, brand, FlixCar]
Generated description
FlixCar is a carpooling and ride-sharing service brand operated by mobility company Flix SE.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FlixCar Target entity description: FlixCar is a carpooling and ride-sharing service brand operated by mobility company Flix SE.
-
A.
CarRentals.com
CarRentals.com is an online car rental booking platform that allows users to compare and reserve vehicles from multiple rental companies worldwide.
-
B.
GrabCar
GrabCar is a ride-hailing service under the Grab platform that connects passengers with private car drivers via a mobile app across Southeast Asia.
-
C.
Green Car service
Green Car service is the first-class, reserved-seat offering on JR West Shinkansen trains, providing more spacious seating and enhanced onboard comfort compared to standard cars.
-
D.
GoCar
GoCar is Gojek’s app-based ride-hailing service that connects passengers with private car drivers for on-demand transportation.
-
E.
Avis
Avis is a historic rural municipality in Portugal’s Portalegre District, known for its medieval heritage and scenic Alentejo landscapes.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f298f881908ad77f2d0ab588a8 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dc63f48190bb68f9859e99e3b4 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a92226881909600555332c2c370 |
completed | May 2, 2026, 11:36 p.m. |
Created at: April 9, 2026, 5:28 p.m.