Triple
T16536283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stendal |
E401699
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Altmark |
E650810
|
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: Altmark | Statement: [Stendal, locatedIn, Altmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altmark Context triple: [Stendal, locatedIn, Altmark]
-
A.
Altmark
Altmark was a German naval auxiliary ship best known for its role in the early World War II "Altmark Incident," when British forces freed prisoners being held aboard it in Norwegian waters.
-
B.
Altmark
chosen
Altmark is a historic region in northern Saxony-Anhalt, Germany, known as one of the original heartlands of the medieval Margraviate of Brandenburg.
-
C.
Brackenfell
Brackenfell is a residential suburb in the northern part of Cape Town, South Africa, known for its family-friendly neighborhoods and proximity to major transport routes and shopping centers.
-
D.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34558ec448190a6dcc15d62d1889c |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067aafee48190a0652fb4fac04a5b |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.