Triple
T34745391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASTM C143 |
E1001621
|
entity |
| Predicate | specifiesNumberOfRodsPerLayer |
P189477
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [ASTM C143, specifiesNumberOfRodsPerLayer, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specifiesNumberOfRodsPerLayer Context triple: [ASTM C143, specifiesNumberOfRodsPerLayer, 25]
-
A.
typicalLayerCount
Indicates the usual or standard number of layers associated with an entity.
-
B.
numberOfSpindles
Indicates the count of spindles associated with or used by a given entity.
-
C.
numberOfSpools
Indicates the quantity of spools associated with a given entity or context.
-
D.
numberOfParallelRidgesInRange
Indicates the count of parallel ridges that occur within a specified range or interval.
-
E.
hasNumberOfOccupationLayers
Indicates the number of distinct occupation layers or strata associated with an entity, such as levels of use, settlement, or functional roles.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 3:59 p.m.