Triple
T7069093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chattahoochee Valley |
E164636
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Lanett, Alabama |
E302352
|
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: Lanett, Alabama | Statement: [Chattahoochee Valley, hasCity, Lanett, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanett, Alabama Context triple: [Chattahoochee Valley, hasCity, Lanett, Alabama]
-
A.
Lanett, Alabama
chosen
Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
-
B.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
C.
Ensley, Alabama
Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
-
D.
LaFayette, Alabama
LaFayette, Alabama is a small city in eastern Alabama known for its historic downtown and role as a local governmental and commercial center.
-
E.
Hanceville, Alabama
Hanceville, Alabama is a small city in Cullman County best known as a Catholic pilgrimage destination due to the presence of the Shrine of the Most Blessed Sacrament and the associated religious community founded by Mother Angelica.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4aa82108190bacd5584c1c78999 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c902a459f481908dbba16de611b85a |
completed | March 29, 2026, 10:44 a.m. |
Created at: March 27, 2026, 2:39 p.m.