Triple
T8340286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istiqlal Mosque |
E195891
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Friedrich Silaban |
E659308
|
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: Friedrich Silaban | Statement: [Istiqlal Mosque, architect, Friedrich Silaban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedrich Silaban Context triple: [Istiqlal Mosque, architect, Friedrich Silaban]
-
A.
Friedrich Silaban
chosen
Friedrich Silaban was a prominent Indonesian architect best known for designing major national landmarks in Jakarta, including the iconic National Monument (Monas).
-
B.
Franz John
Franz John was a German football pioneer best known as the founding figure and first president of FC Bayern Munich.
-
C.
Franz Krüger
Franz Krüger was a 19th-century German painter renowned for his portraits and equestrian scenes, particularly of Prussian nobility and military figures.
-
D.
Johann Sahm
Johann Sahm was a politician who served as a leading official in the government of the Free City of Danzig during the interwar period.
-
E.
Heinrich Ehrhardt
Heinrich Ehrhardt was a German industrialist and entrepreneur best known for establishing major armaments and engineering enterprises in the late 19th and early 20th centuries.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc7237aa0819092b3679a318223ba |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:57 p.m.