Triple
T17421877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trümmelbach Falls |
E423636
|
entity |
| Predicate | numberOfIndividualFalls |
P127392
|
FINISHED |
| Object | 10 |
—
|
LITERAL 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: 10 | Statement: [Trümmelbach Falls, numberOfIndividualFalls, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIndividualFalls Context triple: [Trümmelbach Falls, numberOfIndividualFalls, 10]
-
A.
approximateHeightOfFallsViewed
Indicates the estimated vertical height of the waterfalls as observed or perceived by the viewer.
-
B.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
-
C.
fallsIn
Indicates that one entity is located within, contained by, or geographically/administratively included inside another entity.
-
D.
fallsOn
Indicates that one entity descends due to gravity and comes to rest upon the surface of another entity.
-
E.
eventuallyFalls
Indicates that an entity, after some passage of time or sequence of events, comes to fall or collapse.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44237f2cc819083ca0e7e00d828fb |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.