Triple
T9511008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa, Alabama |
E229392
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Rosa, Alabama |
E229392
|
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: Rosa, Alabama | Statement: [Rosa, Alabama, hasName, Rosa, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa, Alabama Context triple: [Rosa, Alabama, hasName, Rosa, Alabama]
-
A.
Rosa, Alabama
chosen
Rosa, Alabama is a small town located in Blount County in the northern part of the state.
-
B.
Grant, Alabama
Grant, Alabama is a small town in Marshall County known as the closest community to Cathedral Caverns State Park in the Appalachian region of northern Alabama.
-
C.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
D.
Roanoke, Alabama
Roanoke, Alabama is a small city in eastern Alabama known for its rural character and role as a local commercial and community hub.
-
E.
Stevenson, Alabama
Stevenson, Alabama is a small city in northeastern Alabama known for its historic railroad significance and location near the Tennessee River.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9868616c8190856f89fecfa1a02e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20cbe7fb88190a945870540d4c973 |
completed | April 5, 2026, 7:18 a.m. |
Created at: March 30, 2026, 7:58 p.m.