Triple
T12566883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Westphalia |
E295497
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Halver |
E531919
|
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: Halver | Statement: [Province of Westphalia, containsSettlement, Halver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halver Context triple: [Province of Westphalia, containsSettlement, Halver]
-
A.
Halver
chosen
Halver is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its rural character and metalworking industries.
-
B.
Halba
Halba are an indigenous Adivasi community of central India, particularly associated with the Bastar region, known for their distinct language, cultural traditions, and agrarian lifestyle.
-
C.
Hadern
Hadern is a borough in the southwest of Munich, Germany, known for its residential character and the large Waldfriedhof cemetery.
-
D.
Holtemme
The Holtemme is a small river in the Harz region of Saxony-Anhalt, Germany, flowing through towns such as Wernigerode before joining the Bode.
-
E.
Hornstull
Hornstull is a vibrant waterfront neighborhood on the western edge of Södermalm in central Stockholm, known for its bars, restaurants, and cultural venues.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a325948190994bcfc9d571a3a8 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655914f908190afbebbec3cb57e73 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:49 p.m.