Triple
T12013042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridal Veil Falls |
E285952
|
entity |
| Predicate | sideOfBorder |
P1589
|
FINISHED |
| Object | American side |
—
|
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: American side | Statement: [Bridal Veil Falls, sideOfBorder, American side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOfBorder Context triple: [Bridal Veil Falls, sideOfBorder, American side]
-
A.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
B.
shareBorderLengthApprox
Indicates that two entities share a common boundary whose length is approximately equal to a specified value.
-
C.
borderSectionLength
Indicates the measured length of a specific segment of a shared border between two geographic or administrative areas.
-
D.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
E.
borderStraddling
chosen
Indicates that something (such as a feature, structure, or area) extends across and occupies territory on both sides of a border between two regions or jurisdictions.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.