Triple
T8034124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale County |
E187060
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Level Plains, Alabama |
E293182
|
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: Level Plains, Alabama | Statement: [Dale County, contains, Level Plains, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Level Plains, Alabama Context triple: [Dale County, contains, Level Plains, Alabama]
-
A.
Level Plains, Alabama
chosen
Level Plains, Alabama is a small town in southeastern Alabama known for its location along U.S. Route 84 between the cities of Enterprise and Daleville.
-
B.
Pine Ridge, Alabama
Pine Ridge, Alabama is a small town located in northeastern Alabama within DeKalb County.
-
C.
Valley Grande, Alabama
Valley Grande, Alabama is a small incorporated city in Dallas County, near Selma, known primarily as a residential community formed in the early 2000s.
-
D.
Mulga, Alabama
Mulga, Alabama is a small town in central Alabama that forms part of the Birmingham metropolitan area.
-
E.
Valley, Alabama
Valley, Alabama is a small city in eastern Alabama near the Georgia border, historically rooted in textile manufacturing and the Chattahoochee River mill villages.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef50f4c8190a895ac301f182734 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56ede1ac8190afd8a050e9a25851 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.