Triple
T23257185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo District |
E581904
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Bo |
—
|
NE NERFINISHED |
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: Bo | Statement: [Bo District, largestCity, Bo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo Context triple: [Bo District, largestCity, Bo]
-
A.
Bo
chosen
Bo is the second-largest city in Sierra Leone and a major economic and educational center in the country's Southern Province.
-
B.
Bo
Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
-
C.
Bo
Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
-
D.
Bo
Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
-
E.
Bo
Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c5f5bc8190ac8776f7f7430209 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.