Triple
T4814290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pioneer Venus project |
E107148
|
entity |
| Predicate | spacecraftCount |
P59791
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Pioneer Venus project, spacecraftCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spacecraftCount Context triple: [Pioneer Venus project, spacecraftCount, 2]
-
A.
spacecraft
Indicates that an entity is a vehicle or object designed to travel or operate in outer space.
-
B.
spaceFlightsCount
Indicates the number of space flights that an entity has undertaken or been involved in.
-
C.
spacecraftModel
Indicates that one entity is the specific model or design type of a spacecraft associated with another entity.
-
D.
plannedSatellites
Indicates that certain satellites are intended or scheduled to be launched, deployed, or put into operation in association with a given entity or context.
-
E.
numberOfUncrewedMissions
Indicates the total count of missions carried out without any crew on board.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:23 p.m.