Triple
T34546310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitchin fibration |
E886932
|
entity |
| Predicate | genericFiberDimension |
P179304
|
FINISHED |
| Object | half the dimension of the Higgs moduli space |
—
|
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: half the dimension of the Higgs moduli space | Statement: [Hitchin fibration, genericFiberDimension, half the dimension of the Higgs moduli space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genericFiberDimension Context triple: [Hitchin fibration, genericFiberDimension, half the dimension of the Higgs moduli space]
-
A.
formationDimension
Indicates the dimensional characteristics (such as size, scale, or extent) associated with the formation of something.
-
B.
dimensionCount
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
-
C.
dimensionOfAmbientSpace
Indicates the dimensionality of the surrounding or embedding space in which an object or structure exists.
-
D.
dimensionOfFlux
Indicates the dimensional measure or extent associated with a given flux quantity.
-
E.
cardinalityOfFibers
Indicates the number of distinct fibers (preimage sets) associated with a given mapping or relation.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72020d0088190b143dc17763907dc |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 2:02 a.m.