Triple
T13430202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwa Falls |
E313586
|
entity |
| Predicate | approximateStairCount |
P1275
|
FINISHED |
| Object | over 200 steps |
—
|
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: over 200 steps | Statement: [Kwa Falls, approximateStairCount, over 200 steps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateStairCount Context triple: [Kwa Falls, approximateStairCount, over 200 steps]
-
A.
numberOfStairs
chosen
Indicates the quantity of stairs associated with or present in a given context or structure.
-
B.
floorCountApproximate
Indicates an approximate or estimated number of floors associated with a building or structure.
-
C.
numberOfStaircases
Indicates the quantity of distinct staircases associated with or present in a given entity or location.
-
D.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
E.
floorCount
Indicates the number of floors or levels that a building or structure has.
- F. None of above.
Provenance (3 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.