Triple
T249347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA Space Shuttle program |
E5108
|
entity |
| Predicate | totalMissions |
P7449
|
FINISHED |
| Object | 135 |
—
|
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: 135 | Statement: [NASA Space Shuttle program, totalMissions, 135]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalMissions Context triple: [NASA Space Shuttle program, totalMissions, 135]
-
A.
numberOfMissions
chosen
Indicates the total count of missions associated with a given entity or context.
-
B.
numberOfMemberStateMissions
Indicates the total count of missions associated with or undertaken by the member states in a given context.
-
C.
totalLaunches
Indicates the total number of times a particular entity has been launched or initiated.
-
D.
hasMissionActivity
Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
-
E.
successfulLaunches
Indicates that one entity has carried out one or more launches that achieved their intended objectives without failure.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.