Triple
T29340919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-11 blaster rifle |
E744033
|
entity |
| Predicate | realWorldPropBase |
P166657
|
FINISHED |
| Object | Sterling L2A3 submachine gun |
—
|
NE NERFINISHED |
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: Sterling L2A3 submachine gun | Statement: [E-11 blaster rifle, realWorldPropBase, Sterling L2A3 submachine gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realWorldPropBase Context triple: [E-11 blaster rifle, realWorldPropBase, Sterling L2A3 submachine gun]
-
A.
realEstateProject
Indicates a relationship where an entity is involved in, associated with, or represents a specific real estate development project.
-
B.
realEstate
Indicates a relationship where an entity owns, manages, or is otherwise associated with real property such as land or buildings.
-
C.
builtProperty
Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
-
D.
property
Indicates that one entity possesses, is characterized by, or has an attribute or quality associated with another entity.
-
E.
architectureProperty
Indicates that a specified architectural characteristic or feature is attributed to, or associated with, an entity.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f66926e7a48190a1b580fd9fe67c31 |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 1:33 p.m.