Triple
T16297004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lunar Orbiter program |
E395674
|
entity |
| Predicate | imageAcquisitionMethod |
P53868
|
FINISHED |
| Object | film-based imaging system |
—
|
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: film-based imaging system | Statement: [Lunar Orbiter program, imageAcquisitionMethod, film-based imaging system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageAcquisitionMethod Context triple: [Lunar Orbiter program, imageAcquisitionMethod, film-based imaging system]
-
A.
acquisitionMode
Indicates the method or process by which one entity obtains, receives, or gains another entity or resource.
-
B.
sampleAcquisitionDevice
Indicates the device or instrument used to obtain or collect the sample.
-
C.
imagingInstrument
chosen
Indicates that a particular instrument or device is used to capture or produce an image of a target or subject.
-
D.
capturedUsing
Indicates that something was recorded, obtained, or documented by means of a specified tool, method, or device.
-
E.
mainCameraSensor
Indicates that an entity functions as the primary camera sensor for another entity.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.