Triple
T3604234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRR K4s |
E76330
|
entity |
| Predicate | railroadClass |
P5618
|
FINISHED |
| Object | K4s |
E12064
|
NE 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: K4s | Statement: [PRR K4s, railroadClass, K4s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K4s Context triple: [PRR K4s, railroadClass, K4s]
-
A.
Kubernetes
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of machines.
-
B.
K4s Pacific
chosen
The K4s Pacific was a renowned class of 4-6-2 steam locomotives that served as the primary passenger power for the Pennsylvania Railroad in the first half of the 20th century.
-
C.
K4
K4 is an alternative name for Gasherbrum II, one of the world’s fourteen 8,000-meter peaks located in the Karakoram range on the China–Pakistan border.
-
D.
Anthos
Anthos is Google Cloud’s hybrid and multi-cloud application platform that enables consistent deployment and management of containerized applications across on-premises and multiple cloud environments.
-
E.
Argo CD
Argo CD is a declarative, GitOps-based continuous delivery tool that automates application deployment and lifecycle management on Kubernetes clusters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1e07bc481908d9fce18d36d8e0d |
completed | March 8, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b40320a0308190b2f358fe1488ed98 |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.