Triple
T36784934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpstein mountains |
E908878
|
entity |
| Predicate | popularHut |
P194830
|
FINISHED |
| Object | Äscher mountain guesthouse |
—
|
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: Äscher mountain guesthouse | Statement: [Alpstein mountains, popularHut, Äscher mountain guesthouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularHut Context triple: [Alpstein mountains, popularHut, Äscher mountain guesthouse]
-
A.
popularFor
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
-
B.
popularRouteOn
Indicates that a particular route is frequently used or favored on a given transportation line, service, or network.
-
C.
popularFrom
Indicates that something gains or holds popularity starting from a specific time, source, or context.
-
D.
popularRouteTo
Indicates that one location is widely used or frequently chosen as a route or way to reach another location.
-
E.
popularTheme
Indicates that a particular theme is widely favored, frequently used, or commonly featured across many instances or contexts.
- F. None of above. chosen
Provenance (4 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: May 3, 2026, 4:12 p.m.