Triple
T17330286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lefschetz fibration |
E420794
|
entity |
| Predicate | hasCriticalPointsModeledOn |
P97310
|
FINISHED |
| Object | complex Morse singularities |
—
|
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: complex Morse singularities | Statement: [Lefschetz fibration, hasCriticalPointsModeledOn, complex Morse singularities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCriticalPointsModeledOn Context triple: [Lefschetz fibration, hasCriticalPointsModeledOn, complex Morse singularities]
-
A.
criticalPoints
Indicates that certain points in a domain are locations where a function’s derivative (or gradient) is zero or undefined, marking potential local maxima, minima, or saddle points.
-
B.
hasCriticalConcept
Indicates that one entity includes, depends on, or is defined by a key concept that is essential to understanding or functioning of another entity.
-
C.
hasCriticalBehaviorDescribedBy
chosen
Indicates that an entity’s critical or essential behavior is specified or characterized by another entity (such as a description, model, or specification).
-
D.
hasModeledCategory
Indicates that an entity has been modeled or classified according to a specific category or type within a defined schema or framework.
-
E.
hasKPoint
Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d5c788819092bdc4d3de0ec958 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:43 a.m.