Triple
T4118528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyatt Regency Birmingham – The Wynfrey Hotel |
E90351
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Hoover |
E98093
|
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 | Statement: [Hyatt Regency Birmingham – The Wynfrey Hotel, city, Hoover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoover Context triple: [Hyatt Regency Birmingham – The Wynfrey Hotel, city, Hoover]
-
A.
Hoover
Hoover is a surname most prominently associated with Herbert Hoover, the 31st president of the United States.
-
B.
Hoover
chosen
Hoover is a suburban city in the Birmingham metropolitan area of central Alabama, known for its residential communities and shopping centers like the Riverchase Galleria.
-
C.
Otis
Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
-
D.
Otis
Otis is a small rural town in western Massachusetts known for its forests, lakes, and outdoor recreation.
-
E.
Otis
"Otis" is a hip-hop track by Jay-Z and Kanye West featuring a prominent Otis Redding sample, known for its celebratory tone and showcase of their lyrical chemistry.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01f48c1c8190aacde6cdf70d7775 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576abe02081908a1b0322758089bd |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:41 p.m.