Triple
T20888161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palomar Observatory Sky Survey |
E514339
|
entity |
| Predicate | plateSize |
P142254
|
FINISHED |
| Object | 14-inch by 14-inch glass plates |
—
|
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: 14-inch by 14-inch glass plates | Statement: [Palomar Observatory Sky Survey, plateSize, 14-inch by 14-inch glass plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plateSize Context triple: [Palomar Observatory Sky Survey, plateSize, 14-inch by 14-inch glass plates]
-
A.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
-
B.
dishDiameter
Indicates the measurement of how wide a dish is across its center.
-
C.
plateType
Indicates the specific category or style of plate associated with an item or context.
-
D.
plate3
Indicates that one entity is a third plate or dish associated with, supporting, or serving another entity in a given context.
-
E.
correctorPlateDiameter
Indicates the relationship where a corrector plate is associated with a specific measurement of its diameter.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05acf848190a2bbbf33377f23d3 |
completed | April 21, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:46 p.m.