Triple
T4353903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabaster |
E98097
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Hoover, Alabama |
E14505
|
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: Hoover, Alabama | Statement: [Alabaster, hasNearbyCity, Hoover, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoover, Alabama Context triple: [Alabaster, hasNearbyCity, Hoover, Alabama]
-
A.
Hoover, Alabama
chosen
Hoover, Alabama is a suburban city in Jefferson and Shelby counties known for its large shopping centers, residential communities, and role as a major suburb of Birmingham.
-
B.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
C.
Waverly, Alabama
Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
-
D.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
E.
Fairfield, Alabama
Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
- 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_69bd569f30088190bdc9ea72fe35be35 |
completed | March 20, 2026, 2:15 p.m. |
Created at: March 12, 2026, 11:15 p.m.