Triple
T20767326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marengo County, Alabama |
E511131
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Linden, Alabama |
—
|
NE NERFINISHED |
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: Linden, Alabama | Statement: [Marengo County, Alabama, countySeat, Linden, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden, Alabama Context triple: [Marengo County, Alabama, countySeat, Linden, Alabama]
-
A.
Linden, Alabama
chosen
Linden, Alabama is a small city in Marengo County best known as the birthplace of civil rights leader Ralph Abernathy.
-
B.
Linwood, Alabama
Linwood, Alabama is a small unincorporated community located in rural Pike County in the southeastern part of the state.
-
C.
Lynn, Alabama
Lynn, Alabama is a small rural town located in Winston County in the northwestern part of the state.
-
D.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
E.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24df58c8190b37398353ce4bf24 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.