Triple
T1095833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K⁺ |
E24268
|
entity |
| Predicate | hasCParity |
P3972
|
FINISHED |
| Object | not defined |
—
|
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: not defined | Statement: [K⁺, hasCParity, not defined]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCParity Context triple: [K⁺, hasCParity, not defined]
-
A.
hasParity
chosen
Indicates that two entities share the same parity property (e.g., both even or both odd) with respect to a specified attribute or value.
-
B.
hasChargeConjugation
Indicates that one entity is the charge-conjugated counterpart (particle vs. antiparticle form) of another entity.
-
C.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
D.
hasIsospin
Indicates that one particle possesses a specific isospin value or quantum number in relation to another reference or classification framework.
-
E.
canHavePairingSymmetry
Indicates that an entity is capable of exhibiting or supporting a specific type of pairing symmetry in its interactions or internal structure.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.