Triple
T27684703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long March 8 |
E697995
|
entity |
| Predicate | reusabilityMethodUnderStudy |
P163329
|
FINISHED |
| Object | vertical landing |
—
|
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: vertical landing | Statement: [Long March 8, reusabilityMethodUnderStudy, vertical landing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reusabilityMethodUnderStudy Context triple: [Long March 8, reusabilityMethodUnderStudy, vertical landing]
-
A.
reusability
Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
-
B.
reusabilityImpact
Indicates how the ability to reuse something (such as a component, resource, or design) affects outcomes, performance, or other relevant factors in a given context.
-
C.
designedForReusability
Indicates that something has been intentionally created or configured so it can be used multiple times without needing to be discarded or fundamentally rebuilt.
-
D.
usesMethods
Indicates that one entity employs, applies, or relies on specific methods or techniques to perform an action or achieve a result.
-
E.
secondStageReusability
Indicates whether the second stage of a launch vehicle is designed to be recovered and reused after flight.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 2:48 p.m.