Triple
T23008973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyuz TMA-10 |
E572854
|
entity |
| Predicate | touristAgency |
P150634
|
FINISHED |
| Object | Space Adventures |
—
|
NE NERFINISHED |
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: Space Adventures | Statement: [Soyuz TMA-10, touristAgency, Space Adventures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Space Adventures Context triple: [Soyuz TMA-10, touristAgency, Space Adventures]
-
A.
Spaceflight
Spaceflight is a long-running British magazine that covers developments, history, and analysis in astronautics and space exploration.
-
B.
Space
Space is JetBrains’ integrated team collaboration and development platform that combines source code hosting, project management, communication tools, and CI/CD in a single environment.
-
C.
Space
Space is a Canadian specialty television channel known for broadcasting science fiction, fantasy, horror, and genre-related programming.
-
D.
Space
"Space" is a 1982 epic historical novel by James A. Michener that explores the development of the U.S. space program and the people involved in it.
-
E.
Space
Space is a British television channel known for broadcasting science fiction and genre programming, including episodes of Doctor Who.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Space Adventures Target entity description: Space Adventures is a private space tourism company that arranges commercial flights for paying customers to travel into space, including trips to the International Space Station.
-
A.
Spaceflight
Spaceflight is a long-running British magazine that covers developments, history, and analysis in astronautics and space exploration.
-
B.
Space
Space is JetBrains’ integrated team collaboration and development platform that combines source code hosting, project management, communication tools, and CI/CD in a single environment.
-
C.
Space
"Space" is a 1982 epic historical novel by James A. Michener that explores the development of the U.S. space program and the people involved in it.
-
D.
Space
Space is a British television channel known for broadcasting science fiction and genre programming, including episodes of Doctor Who.
-
E.
Space
Space is a Canadian specialty television channel known for broadcasting science fiction, fantasy, horror, and genre-related programming.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristAgency Context triple: [Soyuz TMA-10, touristAgency, Space Adventures]
-
A.
tourismAssociation
Indicates that there is an organizational or formal association related to tourism activities, services, or promotion between the involved entities.
-
B.
tourismModel
Indicates the conceptual framework or approach that defines how tourism activities, services, and interactions are structured and operate within a given context.
-
C.
tourismFrom
Indicates that tourists or visitor activity originates from one place and is directed toward another location.
-
D.
touristGatewayTo
Indicates a relationship where one place serves as the primary access point or entry hub for tourists visiting another place.
-
E.
tourComponentOf
Indicates that something functions as a constituent part or segment of a larger tour.
- F. None of above. chosen
Provenance (4 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835919b08190ba78e182b87358d4 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:51 p.m.