Triple
T12384027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cusseta, Alabama |
E295814
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Cusseta |
E295814
|
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: Cusseta | Statement: [Cusseta, Alabama, hasName, Cusseta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cusseta Context triple: [Cusseta, Alabama, hasName, Cusseta]
-
A.
Jesup
Jesup is a surname most notably associated with Thomas S. Jesup, a prominent figure in American military history.
-
B.
Talibra
Talibra is an independent music label associated with the release of Talib Kweli’s album "Gutter Rainbows."
-
C.
Wasilla
Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
-
D.
Saltina
Saltina is a river in the canton of Valais in southern Switzerland that flows through the area of Brig-Glis.
-
E.
Cusseta, Alabama
chosen
Cusseta, Alabama is a small rural town in eastern Alabama known for its quiet community within Chambers County.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac78c5c81909fb3d63bc6c9cc01 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.