Triple
T29734312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type IIA string theory |
E752413
|
entity |
| Predicate | hasFermionChirality |
P141075
|
FINISHED |
| Object | non-chiral |
—
|
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: non-chiral | Statement: [Type IIA string theory, hasFermionChirality, non-chiral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFermionChirality Context triple: [Type IIA string theory, hasFermionChirality, non-chiral]
-
A.
hasChiralFermions
chosen
Indicates that the subject system or theory includes fermionic particles that exhibit chirality, meaning their left- and right-handed components transform differently under the relevant symmetry group.
-
B.
hasFermionNumber
Indicates that an entity is associated with a specific fermion number value, representing its net count of fermionic particles (fermions minus antifermions).
-
C.
hasFermions
Indicates that an entity possesses or is associated with one or more fermionic particles.
-
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.
hasFermionRepresentation
Indicates that one entity can be represented or modeled in terms of fermionic degrees of freedom or a fermionic field theory.
- 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 28, 2026, 7:44 p.m.