Triple
T26990732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rydberg molecule |
E679853
|
entity |
| Predicate | theoreticalModel |
P2006
|
FINISHED |
| Object | quantum defect theory |
—
|
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: quantum defect theory | Statement: [Rydberg molecule, theoreticalModel, quantum defect theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoreticalModel Context triple: [Rydberg molecule, theoreticalModel, quantum defect theory]
-
A.
possibleModel
Indicates that one entity can serve as a potential or candidate model or template for another entity.
-
B.
model
chosen
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
C.
theorized
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
D.
theoreticalPurpose
Indicates that something exists or is designed primarily for conceptual, explanatory, or theoretical use rather than for direct practical application.
-
E.
modelIn
Indicates that one entity serves as a representation or simulation of 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6218fc6308190b1e3317de86703db |
completed | May 2, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:51 a.m.