Triple
T8681086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassau-Beilstein line |
E206038
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Beilstein |
E206035
|
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: Beilstein | Statement: [Nassau-Beilstein line, hasCapital, Beilstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beilstein Context triple: [Nassau-Beilstein line, hasCapital, Beilstein]
-
A.
Beilstein
chosen
Beilstein is a small historic town in western Germany, known for its medieval architecture and picturesque setting in the Lahn region.
-
B.
Gmelin
Gmelin is a German surname historically associated with several notable scientists, including chemists, botanists, and naturalists.
-
C.
Diels–Kranz collection
The Diels–Kranz collection is the standard scholarly compilation and numbering system of the surviving fragments and testimonia of the Presocratic philosophers.
-
D.
Schottenstift
Schottenstift is a historic Benedictine monastery and church complex in Vienna, Austria, known for its medieval origins and significant cultural and architectural heritage.
-
E.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6ed1e0548190b02d43c5d7e65e08 |
completed | April 3, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:32 p.m.