Triple
T14019591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Unna |
E337292
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Unna |
E101592
|
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: Unna | Statement: [district of Unna, capital, Unna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unna Context triple: [district of Unna, capital, Unna]
-
A.
Unna
chosen
Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
-
B.
Ulla
Ulla is the glamorous, Swedish bombshell secretary and aspiring actress character in the musical comedy "The Producers."
-
C.
Ulla
Ulla is a river that serves as a tributary of the Dzvina (Western Dvina) in Eastern Europe.
-
D.
Uinen
Uinen is a Maia from J.R.R. Tolkien’s legendarium, revered as the Lady of the Seas and protector of mariners.
-
E.
Aulla
Aulla is a small historic town in northern Tuscany, Italy, known for its medieval fortifications and strategic location in the Lunigiana region.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32d77108190b038e8a750738439 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.