Triple
T19891592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Province, Zambia |
E478043
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Serenje |
—
|
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: Serenje | Statement: [Central Province, Zambia, hasTown, Serenje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serenje Context triple: [Central Province, Zambia, hasTown, Serenje]
-
A.
Serenje
chosen
Serenje is a town in Zambia that serves as an important administrative and transport hub within the country’s Central Province.
-
B.
Pomena
Pomena is a small coastal village and tourist resort on the island of Mljet in southern Croatia, known as a gateway to Mljet National Park.
-
C.
Nydri
Nydri is a popular coastal village and tourist resort on the Greek island of Lefkada, known for its scenic harbor, nearby islets, and vibrant waterfront.
-
D.
Sedova
Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
-
E.
Serdinya
Serdinya is a small commune in the Pyrénées-Orientales department of southern France, situated in the historic region of Conflent in the eastern Pyrenees.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590ed7988190bc6b610d1f4fa194 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.