Triple
T11272914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nonnenwerth |
E266856
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Oberwinter |
E450989
|
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: Oberwinter | Statement: [Nonnenwerth, nearSettlement, Oberwinter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberwinter Context triple: [Nonnenwerth, nearSettlement, Oberwinter]
-
A.
Oberwinter
chosen
Oberwinter is a village on the Rhine River in the German state of Rhineland-Palatinate, known as a district of the town of Remagen.
-
B.
Winters
Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
-
C.
Iron Winter
Iron Winter is a science fiction novel by Stephen Baxter that explores the impact of a sudden ice age on a near-future European civilization.
-
D.
And Winter Came...
And Winter Came... is a 2008 studio album by Irish singer Enya that blends her signature ethereal new-age sound with winter and holiday-themed music.
-
E.
Winterwood
Winterwood is a dark, psychologically intense novel by Irish author Patrick McCabe that explores obsession, memory, and rural Irish life through an unreliable narrator.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f43633948190b86f5603ac50ec47 |
completed | April 19, 2026, 3:26 p.m. |
Created at: April 8, 2026, 9:31 p.m.