Triple
T19484124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rems-Murr-Kreis |
E487464
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Rems |
—
|
NE NERFINISHED |
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: Rems | Statement: [Rems-Murr-Kreis, namedAfter, Rems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rems Context triple: [Rems-Murr-Kreis, namedAfter, Rems]
-
A.
Rems
chosen
The Rems is a river in the German state of Baden-Württemberg that flows through the Swabian Jura and into the Neckar.
-
B.
REME
REME is a corps of the British Army responsible for the maintenance, repair, and recovery of the Army’s electrical and mechanical equipment.
-
C.
REMS
REMS is a meteorological instrument suite on NASA's Curiosity rover that measures Martian weather and atmospheric conditions.
-
D.
Remm
Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
-
E.
Re-Mit
Re-Mit is a 2013 studio album by the influential English post-punk band The Fall, showcasing their characteristic abrasive sound and Mark E. Smith’s idiosyncratic vocals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343dcc748190b0df816e6ab4cafb |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.