Triple
T32820599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-31 Hubble deployment |
E839423
|
entity |
| Predicate | telescopeOrbitType |
P7214
|
FINISHED |
| Object | near-circular low Earth orbit |
—
|
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: near-circular low Earth orbit | Statement: [STS-31 Hubble deployment, telescopeOrbitType, near-circular low Earth orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: telescopeOrbitType Context triple: [STS-31 Hubble deployment, telescopeOrbitType, near-circular low Earth orbit]
-
A.
orbitType
chosen
Indicates the specific kind or classification of an object's orbit in relation to the body it revolves around.
-
B.
designedForOrbitType
Indicates that something is specifically created or configured to operate within a particular type or class of orbit.
-
C.
telescopeType
Indicates the specific kind or category of telescope associated with an entity.
-
D.
orbitsObservedFrom
Indicates that the orbital motion of one object around another is being measured or recorded from a specific observation point or frame of reference.
-
E.
orbiterType
Indicates the specific class or category of an orbiter based on its design, mission role, or operational characteristics.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:15 a.m.