Triple
T2656660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senne |
E54627
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Zemst |
E142992
|
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: Zemst | Statement: [Senne, flowsThrough, Zemst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zemst Context triple: [Senne, flowsThrough, Zemst]
-
A.
Zemst
chosen
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
B.
Kuzminki
Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
-
C.
Mende
Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
-
D.
Mende
The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
-
E.
Lusatia
Lusatia is a historical region in Central Europe, spanning parts of eastern Germany and western Poland, known for its distinct Sorbian (West Slavic) cultural and linguistic heritage.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94ae2e881909399b3d58159aa29 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d325ec819097d7f80a28343687 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.