Triple
T1825313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baikonur Cosmodrome |
E40639
|
entity |
| Predicate | launchPadCount |
P843
|
FINISHED |
| Object | multiple launch pads |
—
|
LITERAL 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: multiple launch pads | Statement: [Baikonur Cosmodrome, launchPadCount, multiple launch pads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchPadCount Context triple: [Baikonur Cosmodrome, launchPadCount, multiple launch pads]
-
A.
launchPad
Indicates a physical platform or site from which vehicles, typically rockets or spacecraft, are launched.
-
B.
hasLaunchPadNumber
Indicates that an entity (such as a launch site or facility) is associated with a specific launch pad identification number.
-
C.
totalLaunches
Indicates the total number of times a particular entity has been launched or initiated.
-
D.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
-
E.
hasNumberOfPlatforms
chosen
Indicates the relationship that specifies how many platforms are associated with a given entity.
- F. None of above.
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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:32 p.m.