Triple
T820563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Muscle Shoals |
E102429
|
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: Muscle Shoals | Statement: [Alabama, containsCity, Muscle Shoals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muscle Shoals Context triple: [Alabama, containsCity, Muscle Shoals]
-
A.
Muscle Shoals, Alabama
chosen
Muscle Shoals, Alabama is a small city renowned for its influential recording studios and pivotal role in American popular music history.
-
B.
Muscle Shoals Sound Studio
Muscle Shoals Sound Studio is a legendary American recording studio renowned for its influential soul, rock, and R&B recordings by major artists in the late 20th century.
-
C.
Bessemer, Alabama
Bessemer, Alabama is an industrial city in Jefferson County that forms part of the greater Birmingham region in central Alabama.
-
D.
Gadsden, Alabama
Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
-
E.
Mountain Brook, Alabama
Mountain Brook, Alabama is an affluent suburban city known for its upscale residential neighborhoods, excellent schools, and proximity to Birmingham.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84122cc81909b12b69e27d50008 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:38 p.m.