Triple
T13651444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Néel vector |
E326746
|
entity |
| Predicate | zeroIn |
P9150
|
FINISHED |
| Object | paramagnetic phase |
—
|
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: paramagnetic phase | Statement: [Néel vector, zeroIn, paramagnetic phase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zeroIn Context triple: [Néel vector, zeroIn, paramagnetic phase]
-
A.
zeroDefinition
Indicates that something has no defined value, quantity, or specification within the given context.
-
B.
zeroConcept
Indicates a conceptual or abstract entity that has no concrete instances or realizations in the given context.
-
C.
isZeroFor
chosen
Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
-
D.
yearZero
Indicates that the referenced year is designated as the starting point (year 0) of a particular calendar, timeline, or counting system.
-
E.
formsZeroPointFor
Indicates that one entity serves as the reference or origin point (zero point) for measuring or defining 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc609676c8190b5b1cabe6b315142 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.