Triple
T11890187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auburn-Opelika metropolitan area |
E282890
|
entity |
| Predicate | containsCommunity |
P8617
|
FINISHED |
| Object | Waverly, Alabama |
E296726
|
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: Waverly, Alabama | Statement: [Auburn-Opelika metropolitan area, containsCommunity, Waverly, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waverly, Alabama Context triple: [Auburn-Opelika metropolitan area, containsCommunity, Waverly, Alabama]
-
A.
Waverly, Alabama
chosen
Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
-
B.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
C.
Weaver, Alabama
Weaver, Alabama is a small city in northeastern Alabama known as a residential community within the Anniston–Oxford metropolitan area.
-
D.
Webb, Alabama
Webb, Alabama is a small town located in southeastern Alabama within the Dothan metropolitan area.
-
E.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a3f7548190adfb567f060a175a |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66849ba888190a50c5a5fcdb935e0 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.