Triple
T2706252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fine Guidance Sensor |
E59347
|
entity |
| Predicate | detectorArraySize |
P42120
|
FINISHED |
| Object | 2048 x 2048 pixels |
—
|
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: 2048 x 2048 pixels | Statement: [Fine Guidance Sensor, detectorArraySize, 2048 x 2048 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detectorArraySize Context triple: [Fine Guidance Sensor, detectorArraySize, 2048 x 2048 pixels]
-
A.
numberOfMainDetectors
Indicates the quantity of primary detectors associated with or used in a given context or system.
-
B.
hasNumberOfElectrodes
Indicates the relationship that specifies how many electrodes are associated with a given entity.
-
C.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
D.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
E.
telescopeArrayMemberCount
Indicates the number of individual telescopes that are part of a given telescope array.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda725f24819090e8d936b3d2d5bc |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.