Triple
T29694103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type I string theory |
E751295
|
entity |
| Predicate | hasChiralN |
P189342
|
FINISHED |
| Object | N=1 in 10 dimensions |
—
|
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: N=1 in 10 dimensions | Statement: [Type I string theory, hasChiralN, N=1 in 10 dimensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChiralN Context triple: [Type I string theory, hasChiralN, N=1 in 10 dimensions]
-
A.
isChiral
Indicates that an entity and its mirror image are not superimposable, reflecting a handedness or asymmetry in its structure.
-
B.
hasChiralCenters
Indicates that a molecule possesses one or more chiral (stereogenic) centers, leading to possible stereoisomerism.
-
C.
hasChiralityComponents
Indicates that an entity’s chirality is determined by, or composed of, one or more specified chiral components.
-
D.
isChiralInStandardModel
Indicates that the entity’s behavior or interaction in the Standard Model depends on its handedness (left- or right-handed), i.e., it is not invariant under parity transformation.
-
E.
commonChiralSource
Indicates that two entities share the same origin or cause for their chirality.
- F. None of above. chosen
Provenance (4 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 28, 2026, 7:19 p.m.