Triple
T4353906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabaster |
E98097
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Montevallo, Alabama |
E88483
|
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: Montevallo, Alabama | Statement: [Alabaster, hasNearbyCity, Montevallo, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montevallo, Alabama Context triple: [Alabaster, hasNearbyCity, Montevallo, Alabama]
-
A.
Montevallo, Alabama
chosen
Montevallo, Alabama is a small city in central Alabama best known as the home of the University of Montevallo, the state's only public liberal arts university.
-
B.
Tuscaloosa, Alabama
Tuscaloosa, Alabama is a city in western Alabama known as the home of the University of Alabama and a regional center for education, healthcare, and industry.
-
C.
Trussville, Alabama
Trussville, Alabama is a growing suburban city in Jefferson and St. Clair counties known for its family-friendly neighborhoods, schools, and proximity to Birmingham.
-
D.
Moody, Alabama
Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
-
E.
Prattville
Prattville is a city in central Alabama known for its historic downtown, proximity to Montgomery, and strong ties to the manufacturing and paper industries.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c281688190aef717c4ecce8107 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f7bfd4c8190adf670a5a11c8182 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 12, 2026, 11:15 p.m.