Triple
T4461528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigner crystal |
E98264
|
entity |
| Predicate | hasAnalogy |
P3882
|
FINISHED |
| Object | Coulomb crystal in trapped ions |
—
|
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: Coulomb crystal in trapped ions | Statement: [Wigner crystal, hasAnalogy, Coulomb crystal in trapped ions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnalogy Context triple: [Wigner crystal, hasAnalogy, Coulomb crystal in trapped ions]
-
A.
viewOnAnalogy
Indicates a relationship where one entity interprets, understands, or evaluates another entity by drawing an analogy to something else.
-
B.
hasAnaphora
Indicates that one expression in a text refers back to another earlier expression for its interpretation.
-
C.
hasConceptualOpposite
Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
-
D.
analogousTitle
Indicates that one entity has a title or position that corresponds in role, rank, or function to the title or position held by another entity.
-
E.
usedAsAnalogFor
chosen
Indicates that one entity is employed as a comparison or illustrative counterpart to help explain, represent, or understand 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35674f718819089388c3924dd1414 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.