Triple
T13278414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DLG |
E316251
|
entity |
| Predicate | appliesToMunicipality |
P21296
|
FINISHED |
| Object | Blindheim |
E80708
|
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: Blindheim | Statement: [DLG, appliesToMunicipality, Blindheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blindheim Context triple: [DLG, appliesToMunicipality, Blindheim]
-
A.
Blindheim
chosen
Blindheim is a village in Bavaria, Germany, best known as the site of the pivotal 1704 Battle of Blenheim during the War of the Spanish Succession.
-
B.
Altleiningen
Altleiningen is a small municipality in the Rhineland-Palatinate region of western Germany, known for its medieval castle and scenic location in the Palatinate Forest.
-
C.
Unsleben
Unsleben is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and historic village setting.
-
D.
Bad Heilbrunn
Bad Heilbrunn is a spa municipality in Upper Bavaria, Germany, known for its health resorts and scenic Alpine foothills setting.
-
E.
Stummplatz
Stummplatz is a central public square in Neunkirchen, Germany, known as a focal point for local commerce and community events.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99043fba88190872ede6f63e2fbcb |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a56fa048190b32dcef31b978d9c |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.