Triple
T12418941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall County, Alabama |
E296713
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Arab, Alabama |
E446780
|
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: Arab, Alabama | Statement: [Marshall County, Alabama, containsTown, Arab, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arab, Alabama Context triple: [Marshall County, Alabama, containsTown, Arab, Alabama]
-
A.
Arab, Alabama
chosen
Arab, Alabama is a small city in north-central Alabama known for its proximity to Guntersville Lake and Dam and its location atop Brindlee Mountain.
-
B.
Alabaster, Alabama
Alabaster, Alabama is a rapidly growing suburban city in central Alabama known for its residential communities, schools, and retail centers just south of Birmingham.
-
C.
Black, Alabama
Black, Alabama is a small rural town located in southeastern Alabama near the Florida border.
-
D.
Ardmore, Alabama
Ardmore, Alabama is a small town in northern Alabama known for straddling the state line with Tennessee and serving as a local crossroads community.
-
E.
Argo, Alabama
Argo, Alabama is a small town in the Birmingham metropolitan area known for its suburban-rural character within central Alabama.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6efd748190a5d9396a343e41e1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634933b9881909fd592ede7c3e49c |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.