Triple
T16038985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iller |
E389043
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Allgäu |
E209089
|
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: Allgäu | Statement: [Iller, locatedInRegion, Allgäu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allgäu Context triple: [Iller, locatedInRegion, Allgäu]
-
A.
Allgäu region
chosen
The Allgäu region is a picturesque area in southern Germany known for its alpine landscapes, traditional Bavarian culture, and famous fairy-tale castles.
-
B.
Vinschgau
Vinschgau is a valley region in South Tyrol, northern Italy, known for its alpine landscapes, apple orchards, and mix of Italian and German-speaking culture.
-
C.
Ötztal
Ötztal is a prominent alpine valley in western Austria known for its dramatic mountain scenery, ski resorts, and outdoor recreation opportunities.
-
D.
Glarus
Glarus is a mountainous canton in eastern Switzerland known for its alpine landscapes, textile industry history, and early adoption of progressive democratic reforms.
-
E.
Unterallgäu
Unterallgäu is a rural district in the Bavarian region of Swabia in southern Germany, known for its agricultural landscape and small towns.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833eb90c8190b10dca3ce0793ddf |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd5acb48190a10e40074fffd425 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.