Triple
T36118423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salyut 6 |
E1044672
|
entity |
| Predicate | numberOfProgressMissions |
P204744
|
FINISHED |
| Object | over 10 |
—
|
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: over 10 | Statement: [Salyut 6, numberOfProgressMissions, over 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProgressMissions Context triple: [Salyut 6, numberOfProgressMissions, over 10]
-
A.
numberOfMissions
Indicates the total count of missions associated with a given entity or context.
-
B.
numberOfSuccessfulMissions
Indicates the count of missions that have been completed successfully by the referenced entity or within the specified context.
-
C.
numberOfSinglePlayerMissions
Indicates the total count of missions in a game that are designed to be played by a single player.
-
D.
numberCompleted
Indicates the total count of instances in which the related task, process, or item has been fully completed.
-
E.
hasMissionTo
Indicates that an entity is assigned or dedicated to carrying out a specific mission, task, or purpose related to another entity or objective.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.