Triple
T6117209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rome metropolitan area |
E136387
|
entity |
| Predicate | surroundingCommunities |
P4647
|
FINISHED |
| Object | suburbs of Rome, Georgia |
—
|
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: suburbs of Rome, Georgia | Statement: [Rome metropolitan area, surroundingCommunities, suburbs of Rome, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundingCommunities Context triple: [Rome metropolitan area, surroundingCommunities, suburbs of Rome, Georgia]
-
A.
hasNearbyCommunity
chosen
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
B.
currentCommunities
Indicates that an entity is presently a member of, associated with, or active within one or more communities.
-
C.
associatedCommunity
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
-
D.
communityService
Indicates participation in activities intended to benefit or support a community, typically performed voluntarily or as a civic responsibility.
-
E.
languageLocalCommunities
Indicates that a language is used, maintained, or holds significance within specific local communities or regions.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05beb4cfc8190ab67a5338ec59cea |
completed | March 22, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.