Triple
T21363002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxe-Zeitz |
E526831
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Zeitz |
—
|
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: Zeitz | Statement: [Saxe-Zeitz, capital, Zeitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeitz Context triple: [Saxe-Zeitz, capital, Zeitz]
-
A.
Zeitz
chosen
Zeitz is a historic town in the German state of Saxony-Anhalt, known for its former ducal residence, cathedral, and role as a regional cultural and economic center.
-
B.
Zutendaal
Zutendaal is a small municipality in the Belgian province of Limburg, known for its forests, nature reserves, and role as a gateway to the Hoge Kempen National Park.
-
C.
Egoli
Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
-
D.
Manenberg
Manenberg is a township on the Cape Flats in Cape Town, South Africa, known for its history of forced removals under apartheid and ongoing social challenges alongside strong community activism and culture.
-
E.
Geseke
Geseke is a small town in western Germany located in the historical region of Westphalia.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bae5eb88190be6d9ff4dc03d52b |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:08 p.m.