Triple
T28470848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-1 |
E720431
|
entity |
| Predicate | hasSynchronousPayloadEnvelopeColumns |
P167360
|
FINISHED |
| Object | 87 columns |
—
|
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: 87 columns | Statement: [STS-1, hasSynchronousPayloadEnvelopeColumns, 87 columns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSynchronousPayloadEnvelopeColumns Context triple: [STS-1, hasSynchronousPayloadEnvelopeColumns, 87 columns]
-
A.
hasPayloadStructure
Indicates that an entity is associated with, or characterized by, a specific structure or organization of its payload.
-
B.
hasPayload
Indicates that one entity carries, contains, or is equipped with another entity as its payload.
-
C.
hasEnvelopeGenerator
Indicates that an entity possesses or is associated with an envelope generator component that shapes the evolution of a signal or parameter over time.
-
D.
isSynchronous
Indicates that two or more processes, events, or actions occur at the same time or in a coordinated, lockstep manner.
-
E.
hasPayloadFairing
Indicates that one entity is equipped with, or includes, a payload fairing associated with another entity.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 2:48 a.m.