Triple
T35432319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schattenhalb |
E1024094
|
entity |
| Predicate | hasNotableWaterfallNearby |
P184861
|
FINISHED |
| Object | Reichenbach Falls |
E779091
|
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: Reichenbach Falls | Statement: [Schattenhalb, hasNotableWaterfallNearby, Reichenbach Falls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWaterfallNearby Context triple: [Schattenhalb, hasNotableWaterfallNearby, Reichenbach Falls]
-
A.
nearbyWaterfall
Indicates that the entity is located close to or within a short distance of a waterfall.
-
B.
hasNotableNearbyMountain
Indicates that an entity is located near and is notably associated with a particular mountain.
-
C.
hasFamousWaterfall
chosen
Indicates that an entity is associated with, contains, or is the location of a well-known or notable waterfall.
-
D.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
E.
hasNaturalAttractionsNearby
Indicates that a place is located near or surrounded by notable natural attractions or scenic natural features.
- F. None of above.
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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38726acd808190902b60b419f19dae |
completed | June 21, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.