Triple
T15779420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landquart |
E382572
|
entity |
| Predicate | flowsThroughMunicipality |
P42402
|
FINISHED |
| Object | Jenaz |
E701544
|
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: Jenaz | Statement: [Landquart, flowsThroughMunicipality, Jenaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenaz Context triple: [Landquart, flowsThroughMunicipality, Jenaz]
-
A.
Jenaz
chosen
Jenaz is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known for its rural character and mountain scenery.
-
B.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
C.
Jen
Jen is the young Gelfling hero and central protagonist of the fantasy film "The Dark Crystal," destined to restore balance to his world.
-
D.
Jenney
Jenney is the surname of William Le Baron Jenney, the American architect often regarded as the father of the modern skyscraper.
-
E.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142df48e8819083a48d3b7b3f7f5d |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909f7f4481909cceb32e26af3780 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.