Triple
T3055072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BepiColombo |
E60459
|
entity |
| Predicate | primaryScienceObjective |
P7242
|
FINISHED |
| Object | study Mercury’s composition |
—
|
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: study Mercury’s composition | Statement: [BepiColombo, primaryScienceObjective, study Mercury’s composition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScienceObjective Context triple: [BepiColombo, primaryScienceObjective, study Mercury’s composition]
-
A.
primaryScience
Indicates that one entity serves as the main or principal scientific focus, discipline, or domain associated with another entity.
-
B.
primaryScienceUse
Indicates that something serves as the main or principal scientific purpose or application of an entity or resource.
-
C.
scienceGoals
chosen
Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
-
D.
educationalObjective
Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
-
E.
primaryScienceBand
Indicates that one entity serves as the main or principal science band associated with another 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf6b9948190bc957bfd1579c471 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.