Triple
T2330387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSLV Mk III |
E48387
|
entity |
| Predicate | liftOffMass |
P25126
|
FINISHED |
| Object | about 640 tonnes |
—
|
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: about 640 tonnes | Statement: [GSLV Mk III, liftOffMass, about 640 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liftOffMass Context triple: [GSLV Mk III, liftOffMass, about 640 tonnes]
-
A.
massAtLiftoff
chosen
Indicates the total mass an object or vehicle has at the moment it leaves the ground or launch platform.
-
B.
maximumTakeoffWeight
Indicates the greatest allowable weight an aircraft can have at the start of its takeoff roll under specified conditions.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
takeoffDistanceAtMaxWeight
Indicates the distance required for an aircraft to take off when operating at its maximum allowable weight.
-
E.
takeoffMethod
Indicates the method or procedure by which an aircraft or object initiates its takeoff from a surface or launch point.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abcc30c5e881908c5d526d7e7491d0 |
completed | March 7, 2026, 6:56 a.m. |
| PD | Predicate disambiguation | batch_69abc5926d048190a535e3f23d41de2a |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:50 p.m.