Triple
T2199751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smoke that Thunders |
E50460
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Livingstone |
E51546
|
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: Livingstone | Statement: [The Smoke that Thunders, nearCity, Livingstone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livingstone Context triple: [The Smoke that Thunders, nearCity, Livingstone]
-
A.
Livingstone
chosen
Livingstone is a historic town in southern Zambia that serves as a major gateway for tourists visiting Victoria Falls and the surrounding Zambezi River region.
-
B.
Kumba
Kumba is a renowned steel roller coaster at Busch Gardens Tampa Bay, famous for its intense inversions and smooth, high-speed layout.
-
C.
Anne Speke
Anne Speke was an 18th-century British aristocrat best known as the wife of Prime Minister Lord North and a member of the influential Speke family.
-
D.
Madikizela
Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
-
E.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dbb6e8481908610337cfd2a4bd1 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.