Triple
T27262820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azara railway station |
E687812
|
entity |
| Predicate | servesLocalConnectivity |
P92991
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Azara railway station, servesLocalConnectivity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesLocalConnectivity Context triple: [Azara railway station, servesLocalConnectivity, yes]
-
A.
servesLocalTraffic
chosen
Indicates that something (such as a road, route, or service) is primarily intended to accommodate or support traffic originating from or destined to nearby or surrounding areas rather than long-distance or through traffic.
-
B.
isPartOfNetworkServing
Indicates that one entity functions as a component within, or is supported by, a particular network that provides services to it or through it.
-
C.
networkServed
Indicates that a network provides connectivity or services to a particular entity or set of entities.
-
D.
hasLocalConnections
Indicates that an entity maintains relationships, ties, or affiliations within a specific local area or community.
-
E.
servesRemoteArea
Indicates that an entity provides services or support to people or locations in geographically remote or hard-to-reach areas.
- F. None of above.
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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 10:53 a.m.