Triple
T9613813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanders Group |
E232166
|
entity |
| Predicate | isAUnitOf |
P89240
|
FINISHED |
| Object | bedrock geology |
—
|
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: bedrock geology | Statement: [Sanders Group, isAUnitOf, bedrock geology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAUnitOf Context triple: [Sanders Group, isAUnitOf, bedrock geology]
-
A.
isBaseUnitOf
Indicates that one unit serves as the fundamental reference unit from which another unit in the same measurement system is defined or derived.
-
B.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
C.
isUnitIn
Indicates that a specific unit is located within or belongs to a particular container, group, or context.
-
D.
isInternalUnitOf
Indicates that one unit functions as a subordinate or component part within the organizational structure of another unit.
-
E.
isBaseUnit
Indicates that the referenced unit is a fundamental measurement unit in a system, not derived from other units.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaaa47881908d69381d4d11f49b |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:09 p.m.