Triple
T13768729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtis Schmidt Telescope |
E330818
|
entity |
| Predicate | correctorType |
P110880
|
FINISHED |
| Object | Schmidt corrector plate |
—
|
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: Schmidt corrector plate | Statement: [Curtis Schmidt Telescope, correctorType, Schmidt corrector plate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correctorType Context triple: [Curtis Schmidt Telescope, correctorType, Schmidt corrector plate]
-
A.
allyType
Indicates that one entity is classified as a specific type or category of ally in relation to another entity.
-
B.
oreType
Indicates the specific kind or classification of ore associated with an entity.
-
C.
ultimateType
Indicates that one entity is the final, most specific, or resolved type/classification of another entity in a type hierarchy or typing process.
-
D.
SOType
Indicates the specific type or category of a sales order associated with an entity or transaction.
-
E.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:10 p.m.