Triple
T128494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried Line |
E2600
|
entity |
| Predicate | associatedWithGovernment |
P2153
|
FINISHED |
| Object | Nazi regime |
—
|
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: Nazi regime | Statement: [Siegfried Line, associatedWithGovernment, Nazi regime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithGovernment Context triple: [Siegfried Line, associatedWithGovernment, Nazi regime]
-
A.
governmentInvolvement
chosen
Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
-
B.
hasGovernmentBody
Indicates that one entity serves as the official governing or administrative body responsible for overseeing or managing another entity.
-
C.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
D.
usedInGovernmentBody
Indicates that an entity is employed by, serves within, or is otherwise functionally involved in the operations of a government body.
-
E.
governmentalFunction
Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25763ccf8819094e8dffb2ff98480 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564da96c8190aa8204de25229c15 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.