Triple
T35332241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloch wall |
E1020352
|
entity |
| Predicate | hasPhysicalQuantity |
P187087
|
FINISHED |
| Object | wall thickness |
—
|
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: wall thickness | Statement: [Bloch wall, hasPhysicalQuantity, wall thickness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalQuantity Context triple: [Bloch wall, hasPhysicalQuantity, wall thickness]
-
A.
hasPhysicalQuantityType
Indicates that an entity is associated with, or characterized by, a specific type or category of physical quantity (such as length, mass, time, or temperature).
-
B.
belongsToPhysicalQuantity
Indicates that one entity is a component, attribute, or part of a specific physical quantity, linking it to that quantity as its owner or container.
-
C.
isScalarQuantity
Indicates that the related physical quantity has only magnitude and no directional component.
-
D.
estimatedPhysicalQuantity
Indicates that a physical quantity is not directly measured but inferred or approximated based on available data or calculations.
-
E.
hasPhysicalMeaning
Indicates that something possesses a well-defined, interpretable significance in terms of physical concepts, quantities, or phenomena.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:03 p.m.