Triple
T8857638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höllental |
E210797
|
entity |
| Predicate | nearestSettlement |
P3883
|
FINISHED |
| Object | Grainau |
E753799
|
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: Grainau | Statement: [Höllental, nearestSettlement, Grainau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grainau Context triple: [Höllental, nearestSettlement, Grainau]
-
A.
Grainau
chosen
Grainau is a Bavarian alpine village in southern Germany, known as a gateway to the Zugspitze and nearby mountain lakes.
-
B.
Hauran
Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
-
C.
Gauda
Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
-
D.
Haferland
Haferland is a historical region in Transylvania, Romania, traditionally inhabited by Transylvanian Saxons and known for its dense concentration of medieval fortified churches.
-
E.
Gardein
Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e3b62c8190bf779e7e1db767f6 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0a8c0a48190b362685682e13460 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.