Triple
T26857265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xi- baryon |
E676228
|
entity |
| Predicate | hasHeavierExcitedStates |
P7812
|
FINISHED |
| Object | Ξ(1530) |
—
|
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: Ξ(1530) | Statement: [Xi- baryon, hasHeavierExcitedStates, Ξ(1530)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeavierExcitedStates Context triple: [Xi- baryon, hasHeavierExcitedStates, Ξ(1530)]
-
A.
hasExcitedBoundStates
chosen
Indicates that the entity possesses bound states at higher energy levels than its ground state.
-
B.
isRadialExcitationOf
Indicates that one state or mode is a higher radial excitation (same quantum numbers except for radial quantum number) of another state or mode.
-
C.
hasEffectiveEigenstate
Indicates that an entity is associated with, or behaves as if it possesses, a particular eigenstate that effectively characterizes its observable properties or dynamics in a given context.
-
D.
isMassEigenstateOf
Indicates that one entity is a quantum state with a definite mass that results from diagonalizing the mass operator (or mass matrix) associated with the other entity.
-
E.
hasTopologicalExcitations
Indicates that a system or structure exhibits excitations whose properties are determined by the system’s topology rather than local details.
- 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 5:22 a.m.