Triple
T9808303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikram |
E238205
|
entity |
| Predicate | intendedScience |
P7242
|
FINISHED |
| Object | study of lunar surface temperature |
—
|
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 of lunar surface temperature | Statement: [Vikram, intendedScience, study of lunar surface temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedScience Context triple: [Vikram, intendedScience, study of lunar surface temperature]
-
A.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
-
B.
consideredByScience
Indicates that something is regarded, evaluated, or treated as valid or relevant within the framework, methods, or consensus of scientific inquiry.
-
C.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
D.
scienceGoals
chosen
Indicates the objectives or intended outcomes that guide and justify a scientific activity, project, or investigation.
-
E.
secondScience
Indicates that the subject is the second entity in a sequence or ranking specifically within a scientific context or domain.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7ddaac8190a5584a5c863fbaa3 |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.