Triple
T34745390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASTM C143 |
E1001621
|
entity |
| Predicate | specifiesNumberOfLayers |
P148172
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [ASTM C143, specifiesNumberOfLayers, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specifiesNumberOfLayers Context triple: [ASTM C143, specifiesNumberOfLayers, 3]
-
A.
typicalLayerCount
chosen
Indicates the usual or standard number of layers associated with an entity.
-
B.
layerNumber
Indicates the specific position or index of a layer within an ordered stack or layered structure.
-
C.
hasNumberOfOccupationLayers
Indicates the number of distinct occupation layers or strata associated with an entity, such as levels of use, settlement, or functional roles.
-
D.
maxTextureLayers
Indicates the maximum number of texture layers that can be applied or supported in a given rendering or material context.
-
E.
hasNumberOfSettlementLayers
Indicates the relationship that specifies how many distinct settlement layers or strata are present at a given location or site.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 3:59 p.m.