Triple
T2300276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horseshoe Falls (Victoria Falls) |
E51713
|
entity |
| Predicate | isMajorSegmentOf |
P21605
|
FINISHED |
| Object | Victoria Falls waterfall face |
—
|
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: Victoria Falls waterfall face | Statement: [Horseshoe Falls (Victoria Falls), isMajorSegmentOf, Victoria Falls waterfall face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorSegmentOf Context triple: [Horseshoe Falls (Victoria Falls), isMajorSegmentOf, Victoria Falls waterfall face]
-
A.
isMajorSpanOf
Indicates that one span or segment constitutes the primary or most significant portion of another span.
-
B.
majorSegmentOf
chosen
Indicates that one entity constitutes a principal or most significant part of another larger whole.
-
C.
isMajorTerminalOf
Indicates that one entity serves as a primary or main terminal (such as a key endpoint or hub) for another entity within a system or network.
-
D.
isMajorLinkBetween
Indicates that one entity serves as a primary or most significant connecting link between two or more other entities.
-
E.
isMajorDivisionOf
Indicates that one entity is a primary or principal subdivision or section within another, larger entity.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.