Triple
T19467213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | t-J model |
E487030
|
entity |
| Predicate | symbol_t_represents |
P129
|
FINISHED |
| Object | electron hopping amplitude |
—
|
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: electron hopping amplitude | Statement: [t-J model, symbol_t_represents, electron hopping amplitude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbol_t_represents Context triple: [t-J model, symbol_t_represents, electron hopping amplitude]
-
A.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
C.
symbolizedIn
Indicates that one entity serves as a symbol or representation of another entity.
-
D.
symbolIs
Indicates that one entity serves as the symbolic representation or sign of another entity.
-
E.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.