Triple
T11170749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutzenberg |
E264265
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Lutzenberg |
E264265
|
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: Lutzenberg | Statement: [Lutzenberg, hasOfficialName, Lutzenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lutzenberg Context triple: [Lutzenberg, hasOfficialName, Lutzenberg]
-
A.
Lutzenberg
chosen
Lutzenberg is a small municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland.
-
B.
Lietzenburg
Lietzenburg was the original name of what is now Charlottenburg Palace, a major Baroque royal residence in Berlin associated with the Prussian monarchy.
-
C.
Lunzenau
Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
-
D.
Löwenberg
Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
-
E.
Lydenburg
Lydenburg is a historic town in South Africa known for its early gold-mining heritage and proximity to scenic routes and nature reserves in the Mpumalanga province.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 8, 2026, 9:29 p.m.