Triple
T10672248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell (lunar crater) |
E251516
|
entity |
| Predicate | observationalVisibility |
P95238
|
FINISHED |
| Object | foreshortened from Earth |
—
|
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: foreshortened from Earth | Statement: [Russell (lunar crater), observationalVisibility, foreshortened from Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationalVisibility Context triple: [Russell (lunar crater), observationalVisibility, foreshortened from Earth]
-
A.
observationalStatus
Indicates the current state or condition of an observation, such as whether it has been made, recorded, verified, or remains pending.
-
B.
observatoryFor
Indicates that something serves as an observatory specifically dedicated to observing, studying, or monitoring a particular target or subject.
-
C.
visibleToNakedEye
Indicates that something can be perceived directly without the aid of optical instruments such as telescopes, microscopes, or binoculars.
-
D.
observatoryType
Indicates the specific kind or category of observatory associated with an entity.
-
E.
observingBand
Indicates that an entity is observing or monitoring another entity using a specific spectral band or frequency range.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8659d40819087a2709bd24261ee |
completed | April 9, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:09 p.m.