Triple
T36704167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potts glass |
E906309
|
entity |
| Predicate | hasSpinStates |
P78112
|
FINISHED |
| Object | q-state Potts variables |
—
|
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: q-state Potts variables | Statement: [Potts glass, hasSpinStates, q-state Potts variables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpinStates Context triple: [Potts glass, hasSpinStates, q-state Potts variables]
-
A.
hasTypicalSpinState
Indicates the usual or characteristic spin quantum state that an entity (such as a particle or system) most commonly exhibits under normal conditions.
-
B.
hasSpin
Indicates that one entity possesses or exhibits rotational motion or angular momentum.
-
C.
hasSpinMultiplicity
chosen
Indicates that an entity is associated with a specific spin multiplicity value, representing the number of possible spin states in its quantum mechanical description.
-
D.
hasSpinParity
Indicates that a particle or system possesses a specific spin parity value characterizing its combined spin and intrinsic symmetry properties.
-
E.
hasSpinEffect
Indicates that one entity causes or exhibits a spinning or rotational effect on 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 3, 2026, 4:12 p.m.