Triple
T4014525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cygnus spacecraft |
E90723
|
entity |
| Predicate | disposable |
P51669
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cygnus spacecraft, disposable, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disposable Context triple: [Cygnus spacecraft, disposable, true]
-
A.
disposability
chosen
Indicates that one entity can be discarded, replaced, or treated as expendable in relation to another entity or context.
-
B.
methodOfDisposal
Indicates the specific way or process by which something is discarded, eliminated, or otherwise gotten rid of.
-
C.
usedItem
Indicates that an entity has utilized or employed a particular item for some purpose.
-
D.
demonetized
Indicates that something has lost its status or validity as legal tender or a source of monetization, and can no longer be used to generate revenue in the usual way.
-
E.
donated
Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.