Triple
T22749828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulcrum |
E562662
|
entity |
| Predicate | numberOfStructuralElements |
P86634
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Fulcrum, numberOfStructuralElements, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStructuralElements Context triple: [Fulcrum, numberOfStructuralElements, 5]
-
A.
hasStructureCount
Indicates the number of structures associated with or contained by a given entity.
-
B.
typicalStructuralElement
Indicates that one entity is a standard or characteristic structural component commonly found within or forming part of another entity.
-
C.
numberOfMainElements
chosen
Indicates the quantity of primary or central elements associated with an entity or structure.
-
D.
numberOfAttributes
Indicates the total count of distinct attributes or properties associated with a given entity or object.
-
E.
typicalNumberOfComponents
Indicates the usual or standard count of distinct components that an entity is expected to have.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b8e9408190b251700d3386a1b9 |
completed | April 29, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:24 p.m.