Triple
T805592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight 4 |
E17424
|
entity |
| Predicate | payloadMassClass |
P5941
|
FINISHED |
| Object | small satellite mass simulator |
—
|
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: small satellite mass simulator | Statement: [Flight 4, payloadMassClass, small satellite mass simulator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: payloadMassClass Context triple: [Flight 4, payloadMassClass, small satellite mass simulator]
-
A.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
B.
maximumPayload
Indicates the greatest amount of load or capacity that an entity is designed or allowed to carry, handle, or support.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
E.
mainCargo
chosen
Indicates that one entity serves as the primary or principal cargo carried or transported by another 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ace495348190aec66f35ea90bc89 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa70973c8190adbf08302d1103a9 |
completed | March 1, 2026, 9:06 p.m. |
Created at: March 1, 2026, 7:38 p.m.