Triple
T20801575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toesca metro station |
E512052
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object | Toesca |
—
|
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: Toesca | Statement: [Toesca metro station, locatedInNeighborhood, Toesca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toesca Context triple: [Toesca metro station, locatedInNeighborhood, Toesca]
-
A.
Toesca
chosen
Toesca is an Italian-origin surname best known through Joaquín Toesca, an 18th-century architect influential in colonial Chilean architecture.
-
B.
Monasca
Monasca is an OpenStack project that provides a scalable, multi-tenant monitoring-as-a-service solution for metrics, logs, and alarms in cloud environments.
-
C.
Mesos
Mesos is an open-source cluster manager that abstracts CPU, memory, and other resources across distributed systems to efficiently run and scale applications and frameworks.
-
D.
Tirora
Tirora is a town in the Gondia district of Maharashtra, India, known for its agricultural surroundings and regional commercial activity.
-
E.
Tekton
Tekton is an open-source framework for building cloud-native CI/CD systems on Kubernetes using reusable, declarative pipelines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2b0d75881909cc89ebe4e27adc1 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:39 p.m.