Triple
T3493726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemistry |
E73795
|
entity |
| Predicate | studiesScale |
P41893
|
FINISHED |
| Object | atomic scale |
—
|
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: atomic scale | Statement: [Chemistry, studiesScale, atomic scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesScale Context triple: [Chemistry, studiesScale, atomic scale]
-
A.
studiesProcess
Indicates that an entity systematically examines, researches, or learns about a particular process.
-
B.
scoreScale
Indicates the scale or range on which a score or rating is expressed or measured.
-
C.
dimensionOfStudy
chosen
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
-
D.
widelyStudiedIn
Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
-
E.
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).
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbad51648190b756ad621d6d7df0 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.