Triple
T18770991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion OB association |
E459015
|
entity |
| Predicate | hasBeenStudiedUsing |
P49589
|
FINISHED |
| Object | optical 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: optical observations | Statement: [Orion OB association, hasBeenStudiedUsing, optical observations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenStudiedUsing Context triple: [Orion OB association, hasBeenStudiedUsing, optical observations]
-
A.
isStudiedUsing
chosen
Indicates that something serves as the method, tool, or approach by which something else is examined, analyzed, or researched.
-
B.
hasBeenStudiedSince
Indicates that an entity has been the subject of study or research starting from a specified point in time and continuing thereafter.
-
C.
studiedBy
Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
-
D.
alsoStudied
Indicates that an entity pursued additional studies in another subject, field, or institution besides a primary one.
-
E.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59335a01881908731371be1e27a6b |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.