Triple
T21214573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of West Virginia |
E522801
|
entity |
| Predicate | rifleRepresents |
P125019
|
FINISHED |
| Object | defense of liberty |
—
|
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: defense of liberty | Statement: [Coat of arms of West Virginia, rifleRepresents, defense of liberty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rifleRepresents Context triple: [Coat of arms of West Virginia, rifleRepresents, defense of liberty]
-
A.
riflesRepresent
chosen
Indicates that rifles serve as symbols, embodiments, or representations of something (such as ideas, groups, or values) in a given context.
-
B.
isServiceRifleOf
Indicates that one entity is the designated service rifle used by another entity, typically a military or armed force.
-
C.
rifleConference
Indicates a relationship where an entity organizes, participates in, or is otherwise involved with a conference focused on rifles or rifle-related topics.
-
D.
rifleDivision
Indicates a military organizational relationship where an entity functions as or is assigned to a rifle division.
-
E.
rifleHomeRange
Indicates the typical spatial area within which rifle-related activities or use are normally carried out.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734727a30819089c433e4fe6f438a |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:39 p.m.