Triple
T20337417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Bears |
E495650
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Fairfield, Alabama |
E21541
|
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: Fairfield, Alabama | Statement: [Golden Bears, location, Fairfield, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairfield, Alabama Context triple: [Golden Bears, location, Fairfield, Alabama]
-
A.
Fairfield, Alabama
chosen
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
-
B.
Fairview, Alabama
Fairview, Alabama is a small rural town located in Cullman County in north-central Alabama, known for its close-knit community and agricultural surroundings.
-
C.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
D.
Franklin, Alabama
Franklin, Alabama is a small unincorporated community located in Monroe County in the southern part of the state.
-
E.
Rockford, Alabama
Rockford, Alabama is a small rural town in central Alabama that serves as the administrative and civic hub of Coosa 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f7a2ba0819086919b4369d8177e |
completed | May 17, 2026, 6:56 p.m. |
Created at: April 16, 2026, 11:23 a.m.