Triple
T8439294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine-Ruhr metropolitan region |
E199309
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Herne |
E355366
|
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: Herne | Statement: [Rhine-Ruhr metropolitan region, containsCity, Herne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herne Context triple: [Rhine-Ruhr metropolitan region, containsCity, Herne]
-
A.
Herne
Herne is a small Flemish municipality in the Belgian province of Flemish Brabant, known for its rural character and location in the Pajottenland region.
-
B.
Herne
chosen
Herne is a city in the Ruhr area of North Rhine-Westphalia, Germany, known for its industrial heritage and dense urban character.
-
C.
Harpur Hill
Harpur Hill is a small village in the High Peak district of Derbyshire, England, known for its elevated position and proximity to the spa town of Buxton.
-
D.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
-
E.
Highgate Wood
Highgate Wood is an ancient semi-natural woodland and public park in North London, known for its rich biodiversity, historic character, and recreational facilities.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13708988190a534e38d8254c9bd |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d9140b48190ad0c493948a3de5e |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:08 p.m.