Triple
T9652019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlei |
E233357
|
entity |
| Predicate | hasTownOnShore |
P969
|
FINISHED |
| Object | Missunde |
E811929
|
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: Missunde | Statement: [Schlei, hasTownOnShore, Missunde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missunde Context triple: [Schlei, hasTownOnShore, Missunde]
-
A.
Missunde
chosen
Missunde is a small village in northern Germany situated on the narrowest crossing point of the Schlei inlet, known for its ferry connection and scenic waterfront.
-
B.
Mwadi Mabika
Mwadi Mabika is a former Congolese professional basketball player best known as a standout guard for the Los Angeles Sparks in the WNBA.
-
C.
Semliki River
The Semliki River is a major river in Central Africa that flows from Lake Edward through the Democratic Republic of the Congo and Uganda, forming part of their border before reaching Lake Albert.
-
D.
Lusoga
Lusoga is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
-
E.
Kalambo
Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a03438c8190a3419cbed7af4cd4 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:13 p.m.