Triple
T16510265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maienfeld |
E401040
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Jenins |
E1216988
|
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: Jenins | Statement: [Maienfeld, borderedBy, Jenins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenins Context triple: [Maienfeld, borderedBy, Jenins]
-
A.
Jenins
chosen
Jenins is a small wine-growing municipality in the canton of Graubünden in eastern Switzerland, known for its scenic location in the Bündner Herrschaft region.
-
B.
Jerins
Jerins is the surname of American child actress Sterling Jerins, known for her roles in films like "World War Z" and "The Conjuring" series.
-
C.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
D.
Jenney
Jenney is the surname of William Le Baron Jenney, the American architect often regarded as the father of the modern skyscraper.
-
E.
Jenkens
Jenkens is an alternative spelling or variant form of the name Jenkins, which is commonly used as an English surname and given name.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e54f7508190804bbae4c9bc8fe3 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608038288190925586dfb7e64689 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.