Triple
T1038025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Guam |
E22408
|
entity |
| Predicate | isModeledAfter |
P7125
|
FINISHED |
| Object | state lieutenant governor offices in the United States |
—
|
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: state lieutenant governor offices in the United States | Statement: [Lieutenant Governor of Guam, isModeledAfter, state lieutenant governor offices in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isModeledAfter Context triple: [Lieutenant Governor of Guam, isModeledAfter, state lieutenant governor offices in the United States]
-
A.
hasModelledFor
Indicates that one entity has served as a model for another entity, typically in a professional or representational context such as art, photography, or fashion.
-
B.
isVersionOf
Indicates that one entity is a particular version, edition, or variant derived from another entity.
-
C.
isBasedOn
chosen
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
D.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
E.
model
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.