Triple
T4436296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessemer Civic Center |
E95657
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | City of Bessemer |
E16937
|
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: City of Bessemer | Statement: [Bessemer Civic Center, ownedBy, City of Bessemer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Bessemer Context triple: [Bessemer Civic Center, ownedBy, City of Bessemer]
-
A.
Bessemer
Bessemer is a surname most notably associated with Sir Henry Bessemer, the English inventor who revolutionized steel production in the 19th century.
-
B.
Bessemer
Bessemer is an industrial city in Jefferson County, Alabama, historically known for its steelmaking and manufacturing.
-
C.
Bessemer, Alabama
chosen
Bessemer, Alabama is an industrial city in Jefferson County that forms part of the greater Birmingham region in central Alabama.
-
D.
Coal City
Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
-
E.
Coal City
Coal City is a small unincorporated community in southern West Virginia, historically associated with the region’s coal mining industry.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35589f8608190b0820d36beaacf44 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b628002e208190a68c659abd348040 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:31 p.m.