Triple
T1312140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruhr Pocket |
E28014
|
entity |
| Predicate | significantPlace |
P1098
|
FINISHED |
| Object | Unna |
E101592
|
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: Unna | Statement: [Ruhr Pocket, significantPlace, Unna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unna Context triple: [Ruhr Pocket, significantPlace, Unna]
-
A.
Unna
chosen
Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
-
B.
Ulva
Ulva is a small, sparsely populated island off the west coast of Scotland, known for its rugged landscapes, wildlife, and historic connections to the Hebrides.
-
C.
Inuinnaqtun
Inuinnaqtun is an Inuit language spoken in parts of the Canadian Arctic, particularly in western Nunavut and the Northwest Territories.
-
D.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
E.
Thussu
Thussu is an Indian family name associated with individuals such as Swarup Rani Thussu.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1572b1c8190ab978198c2d655c8 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf2964048190950723487c7cf707 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:55 p.m.