Triple
T5701896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zürich S-Bahn |
E125683
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
Thurbo
Thurbo is a Swiss regional railway company that operates local and suburban train services, particularly in northeastern Switzerland.
|
E540878
|
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: Thurbo | Statement: [Zürich S-Bahn, operator, Thurbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thurbo Context triple: [Zürich S-Bahn, operator, Thurbo]
-
A.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
-
B.
T-Rac
T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
-
C.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
-
D.
Tugg Speedman
Tugg Speedman is a fictional, fading action-movie star portrayed by Ben Stiller in the satirical war comedy film "Tropic Thunder."
-
E.
Omnimover
Omnimover is a continuously moving ride system used in Disney theme park attractions to transport guests smoothly through elaborately themed environments.
- 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: Thurbo Triple: [Zürich S-Bahn, operator, Thurbo]
Generated description
Thurbo is a Swiss regional railway company that operates local and suburban train services, particularly in northeastern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thurbo Target entity description: Thurbo is a Swiss regional railway company that operates local and suburban train services, particularly in northeastern Switzerland.
-
A.
Turbostar
Turbostar is a family of modern British diesel multiple-unit trains widely used for regional and commuter services across the UK rail network.
-
B.
T-Rac
T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
-
C.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
-
D.
Tugg Speedman
Tugg Speedman is a fictional, fading action-movie star portrayed by Ben Stiller in the satirical war comedy film "Tropic Thunder."
-
E.
Omnimover
Omnimover is a continuously moving ride system used in Disney theme park attractions to transport guests smoothly through elaborately themed environments.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0245581988190a819b8137533ed31 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5fe4fc8190944a63a29da0fe3c |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05c1d98b4819080ae9163a0cfd659 |
completed | March 22, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05caea8b881908a4d12aec44f422e |
completed | March 22, 2026, 9:18 p.m. |
Created at: March 22, 2026, 3:45 p.m.