Triple
T17330270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lefschetz pencil |
E420793
|
entity |
| Predicate | hasSmoothFiber |
P127028
|
FINISHED |
| Object | generic hyperplane section |
—
|
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: generic hyperplane section | Statement: [Lefschetz pencil, hasSmoothFiber, generic hyperplane section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmoothFiber Context triple: [Lefschetz pencil, hasSmoothFiber, generic hyperplane section]
-
A.
hasFiber
Indicates that one entity contains, includes, or is characterized by a certain amount or type of fiber.
-
B.
isFiberFed
Indicates that an entity receives or is supplied with fiber as its input or source.
-
C.
hasFiberContent
Indicates that one entity contains a specified amount or level of dietary fiber.
-
D.
isNaturalFiber
Indicates that a material or textile is made from fibers derived from natural sources rather than synthetic ones.
-
E.
hasFlat
Indicates that an entity possesses or is associated with a flat (an apartment or level dwelling unit).
- 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_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. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.