Triple
T245948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project Ozma |
E5036
|
entity |
| Predicate | observingTechnique |
P8701
|
FINISHED |
| Object | single-dish radio observations |
—
|
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: single-dish radio observations | Statement: [Project Ozma, observingTechnique, single-dish radio observations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observingTechnique Context triple: [Project Ozma, observingTechnique, single-dish radio observations]
-
A.
observatoryType
Indicates the specific kind or category of observatory associated with an entity.
-
B.
telescopeType
Indicates the specific kind or category of telescope associated with an entity.
-
C.
observatory
Indicates a relationship where a facility or structure is used to observe, monitor, or study objects or phenomena, typically in astronomy or atmospheric science.
-
D.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
E.
observatoryOperator
Indicates that one entity operates, manages, or runs an observatory facility for another entity or in an official capacity.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d128c0081909908825b302ae635 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b63b0bc8190864d7324d339fb48 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.