Triple
T2909472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journey Behind the Falls |
E63646
|
entity |
| Predicate | approximateHeightOfFallsViewed |
P42841
|
FINISHED |
| Object | about 57 metres |
—
|
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: about 57 metres | Statement: [Journey Behind the Falls, approximateHeightOfFallsViewed, about 57 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateHeightOfFallsViewed Context triple: [Journey Behind the Falls, approximateHeightOfFallsViewed, about 57 metres]
-
A.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
-
B.
lowerFallsHeight
Indicates that one entity has a lower vertical extent or height than another.
-
C.
hasNearbyFell
Indicates that one entity has a fell (a hill or high moorland area) located in close proximity to it.
-
D.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
E.
fallsOn
Indicates that one entity descends due to gravity and comes to rest upon the surface of another entity.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d329c88190b6fcaef0be1799eb |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:11 p.m.