Triple
T13935291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Dies Jr. |
E335102
|
entity |
| Predicate | area of activity |
P111844
|
FINISHED |
| Object | domestic security policy |
—
|
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: domestic security policy | Statement: [Martin Dies Jr., area of activity, domestic security policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: area of activity Context triple: [Martin Dies Jr., area of activity, domestic security policy]
-
A.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
-
B.
plannedArea
Indicates that an area is designated or intended for a specific planned use or development.
-
C.
strategicArea
Indicates that an entity is designated as an area of strategic importance or priority within a broader plan, operation, or context.
-
D.
regulatedArea
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
-
E.
significanceArea
Indicates that a specified area holds particular importance, relevance, or impact within a given context or system.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69dbc873052c8190b33ff7f7c5a4e7ee |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0fc42c8190ada203febd57e851 |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:17 p.m.