Triple
T5504438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama State Route 25 |
E144404
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Moody, Alabama |
E188134
|
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: Moody, Alabama | Statement: [Alabama State Route 25, passesThrough, Moody, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moody, Alabama Context triple: [Alabama State Route 25, passesThrough, Moody, Alabama]
-
A.
Moody, Alabama
chosen
Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
-
B.
Gadsden, Alabama
Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
-
C.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
D.
Bessemer, Alabama
Bessemer, Alabama is an industrial city in Jefferson County that forms part of the greater Birmingham region in central Alabama.
-
E.
Mobile, Alabama
Mobile, Alabama is a historic port city on the Gulf Coast known for its colonial heritage, shipbuilding industry, and hosting one of the oldest Mardi Gras celebrations in the United States.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0d21848190ae8c41561eca6342 |
completed | March 22, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e2efb6d4819091ed08faec3b6c4a |
completed | March 23, 2026, 6:51 a.m. |
Created at: March 22, 2026, 3:32 p.m.