Triple
T15250940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbsandsteingebirge |
E364515
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Schrammsteine |
E1145989
|
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: Schrammsteine | Statement: [Elbsandsteingebirge, contains, Schrammsteine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schrammsteine Context triple: [Elbsandsteingebirge, contains, Schrammsteine]
-
A.
Schrammsteine
chosen
Schrammsteine is a striking sandstone rock formation and popular climbing and hiking area in the Saxon Switzerland region of eastern Germany.
-
B.
Steine
Steine is a small coastal village located on the island municipality of Vestvågøy in Norway’s Lofoten archipelago.
-
C.
Externsteine
Externsteine is a striking sandstone rock formation in Germany renowned for its dramatic cliffs, prehistoric and medieval carvings, and significance as a cultural and natural landmark.
-
D.
Tumblestone
Tumblestone is a major river in the fictional continent of Westeros from George R.R. Martin’s "A Song of Ice and Fire" series, flowing past key locations such as Riverrun.
-
E.
Stößen
Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f728648190b2c86e4528542b65 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6c25808190af46f4cab56f133c |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:13 a.m.