Triple
T8365715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumming |
E197120
|
entity |
| Predicate | metroRelationship |
P78253
|
FINISHED |
| Object | suburb of Atlanta |
—
|
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: suburb of Atlanta | Statement: [Cumming, metroRelationship, suburb of Atlanta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroRelationship Context triple: [Cumming, metroRelationship, suburb of Atlanta]
-
A.
hasMetropolitanConnectionWith
chosen
Indicates that there is a significant relationship or linkage between two entities based on shared or interacting metropolitan areas, such as through infrastructure, services, or regional integration.
-
B.
cityStatusRelationship
Indicates a relationship specifying the administrative or legal status of a city (such as whether it is a capital, municipality type, or holds a particular civic designation).
-
C.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
-
D.
metroLineColor
Indicates the color assigned to a specific metro or subway line in a transit system.
-
E.
hasUndergroundConnections
Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808bc22481909ce2f8b48cc95806 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.