Triple
T2721214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIRSpec |
E60082
|
entity |
| Predicate | microShutterArraySize |
P41859
|
FINISHED |
| Object | approximately 250000 individually addressable shutters |
—
|
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: approximately 250000 individually addressable shutters | Statement: [NIRSpec, microShutterArraySize, approximately 250000 individually addressable shutters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microShutterArraySize Context triple: [NIRSpec, microShutterArraySize, approximately 250000 individually addressable shutters]
-
A.
hasAperture
Indicates that one entity possesses or is characterized by a specific opening, gap, or aperture.
-
B.
sensorResolution
Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
-
C.
telephotoCameraResolution
Indicates the image resolution capability of a device’s telephoto camera in a given context.
-
D.
telescopeArrayMemberCount
Indicates the number of individual telescopes that are part of a given telescope array.
-
E.
pixelScale
Indicates the ratio or conversion factor between pixel units and real-world or coordinate-space units in a representation or image.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab1cb808190b0789c76bc9cb090 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.