Triple
T3956184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gipsy Danger chain sword |
E84983
|
entity |
| Predicate | deploymentMechanism |
P53120
|
FINISHED |
| Object | retractable |
—
|
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: retractable | Statement: [Gipsy Danger chain sword, deploymentMechanism, retractable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deploymentMechanism Context triple: [Gipsy Danger chain sword, deploymentMechanism, retractable]
-
A.
deploymentType
Indicates the manner or configuration in which a system, application, or component is deployed or made operational.
-
B.
deploymentModel
Indicates the type or manner in which a system, service, or resource is deployed or made available (e.g., on-premises, cloud, hybrid).
-
C.
deploymentRequires
Indicates that performing a particular deployment is contingent upon the prior existence, completion, or availability of another specified resource, condition, or action.
-
D.
deploymentCapability
Indicates the ability or capacity of an entity to deploy, release, or roll out another entity (such as a system, service, or resource) into an operational environment.
-
E.
deploymentConcept
Indicates that one entity represents a concept, model, or plan that guides or defines how another entity is deployed or put into operation.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefaa3c6a08190bfe76629c7c98eea |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:30 p.m.