Triple
T36468665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil–Petersson metric |
E898484
|
entity |
| Predicate | dualSpaceIdentifiedWith |
P131886
|
FINISHED |
| Object | holomorphic quadratic differentials |
—
|
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: holomorphic quadratic differentials | Statement: [Weil–Petersson metric, dualSpaceIdentifiedWith, holomorphic quadratic differentials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dualSpaceIdentifiedWith Context triple: [Weil–Petersson metric, dualSpaceIdentifiedWith, holomorphic quadratic differentials]
-
A.
hasDualSpace
chosen
Indicates that one mathematical space is the dual space consisting of all linear functionals defined on another space.
-
B.
dualPair
Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
-
C.
hasDualBasis
Indicates that one mathematical structure serves as the dual basis corresponding to another basis, typically in a dual vector space.
-
D.
hasTdualityPartner
Indicates that one entity is related to another as its T-dual counterpart, typically under T-duality transformations in string theory.
-
E.
identifiedIn
Indicates that an entity is recognized, discovered, or documented within a specified source, context, or location.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.