Triple
T4553047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magellan Project |
E120413
|
entity |
| Predicate | supportsObservationType |
P42123
|
FINISHED |
| Object | imaging |
—
|
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: imaging | Statement: [Magellan Project, supportsObservationType, imaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsObservationType Context triple: [Magellan Project, supportsObservationType, imaging]
-
A.
supportsObservationSpace
Indicates that one entity provides or enables an observation space capability for another entity.
-
B.
supportsObservationModes
chosen
Indicates that one entity provides or is compatible with specific modes or methods of observation used by another entity.
-
C.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
D.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
E.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd581160e08190b715a8ce5c3e6c9b |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.