Triple
T14923592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GROND |
E371574
|
entity |
| Predicate | hasObservationMode |
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: [GROND, hasObservationMode, imaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObservationMode Context triple: [GROND, hasObservationMode, imaging]
-
A.
supportsObservationModes
chosen
Indicates that one entity provides or is compatible with specific modes or methods of observation used by another entity.
-
B.
hasObservationMethod
Indicates that a particular method, technique, or procedure is used to perform or obtain an observation.
-
C.
hasObservationInstrument
Indicates that a particular instrument or device was used to make or record an observation.
-
D.
hasObservationFeatures
Indicates that an observation is associated with specific measurable or descriptive features that characterize it.
-
E.
hasObservationTarget
Indicates that an observation is directed toward or focused on a particular target entity.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6323f8c8190af02d06352d459c3 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:34 a.m.