Triple
T8111581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kueyen |
E189365
|
entity |
| Predicate | arraySize |
P42120
|
FINISHED |
| Object | one of four Unit Telescopes |
—
|
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: one of four Unit Telescopes | Statement: [Kueyen, arraySize, one of four Unit Telescopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arraySize Context triple: [Kueyen, arraySize, one of four Unit Telescopes]
-
A.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
-
B.
sampleSize
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
-
C.
detectorArraySize
chosen
Indicates the size or dimensions of a detector array used in a sensing or measurement system.
-
D.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
E.
indexSize
Indicates the size or magnitude of an index associated with an entity, such as its length, capacity, or storage footprint.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:32 p.m.