Triple
T34869177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Coast Guard maritime security program |
E1005700
|
entity |
| Predicate | usesMeasureType |
P190085
|
FINISHED |
| Object | regulatory measures |
—
|
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: regulatory measures | Statement: [United States Coast Guard maritime security program, usesMeasureType, regulatory measures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMeasureType Context triple: [United States Coast Guard maritime security program, usesMeasureType, regulatory measures]
-
A.
includesMeasureType
Indicates that one entity specifies or contains a particular type of measurement associated with it.
-
B.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
-
C.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
-
D.
usesMeasureDomain
Indicates that one entity employs or relies on a particular measurement domain or measurement framework as the basis for its values or evaluations.
-
E.
containsMeasure
Indicates that one entity includes or encompasses a specific measure or quantitative component as part of its content or structure.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4 p.m.