Triple
T18984113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Hôtel des Bains |
E464506
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Alps |
—
|
NE NERFINISHED |
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: Alps | Statement: [Grand Hôtel des Bains, hasView, Alps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alps Context triple: [Grand Hôtel des Bains, hasView, Alps]
-
A.
Alps
chosen
The Alps are a major European mountain range stretching across several countries, renowned for their high peaks, including Mont Blanc, and their importance for tourism, skiing, and alpine ecosystems.
-
B.
Alps
"Alps" is a 2011 Greek drama film directed by Yorgos Lanthimos, known for its surreal, unsettling exploration of identity and grief.
-
C.
Montes Alpes
Montes Alpes is a prominent lunar mountain range located along the northeastern edge of Mare Imbrium on the Moon.
-
D.
Northern Alps
The Northern Alps, also known as the Hida Mountains, are a prominent and rugged mountain range in central Honshu, Japan, famed for their high peaks, alpine scenery, and popular hiking and skiing areas.
-
E.
Alpen
Alpen is a small municipality in the district of Wesel in North Rhine-Westphalia, Germany, known for its rural character and proximity to the Lower Rhine region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65ec0bc8190b878252b1b4c3620 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.