Triple
T1145452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derringer pistol |
E23553
|
entity |
| Predicate | hasTriggerType |
P24442
|
FINISHED |
| Object | single trigger (typical) |
—
|
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: single trigger (typical) | Statement: [Derringer pistol, hasTriggerType, single trigger (typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTriggerType Context triple: [Derringer pistol, hasTriggerType, single trigger (typical)]
-
A.
hasEventType
Indicates that an event is associated with, or classified under, a specific type or category of event.
-
B.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
C.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasStageType
Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc51244c8190bcd533f3e80c8f17 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbb9fb4c81909dd39c496893c21b |
completed | March 1, 2026, 10:20 p.m. |
Created at: March 1, 2026, 7:44 p.m.