Triple
T1248989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal's triangle |
E26830
|
entity |
| Predicate | diagonalProperty |
P25793
|
FINISHED |
| Object | first diagonal consists of all 1s |
—
|
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: first diagonal consists of all 1s | Statement: [Pascal's triangle, diagonalProperty, first diagonal consists of all 1s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diagonalProperty Context triple: [Pascal's triangle, diagonalProperty, first diagonal consists of all 1s]
-
A.
dimensionDependentProperties
Indicates that certain properties or characteristics of an entity vary as a function of its dimensional attributes (such as size, length, or number of dimensions).
-
B.
measuredProperty
Indicates that the subject is a measurement that quantifies or assesses the specified property of an entity.
-
C.
perpendicularTo
Indicates that one entity is oriented at a right angle (90 degrees) to another entity.
-
D.
isIsotropic
Indicates that a property or behavior is identical in all directions, showing no directional dependence.
-
E.
isQuadrangleOf
Indicates that one entity is a four-sided polygon (quadrilateral) that has the other entity as its defining instance or member.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf83b32c81908648e5748b897247 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.