Triple
T2300303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Falls Bridge |
E51714
|
entity |
| Predicate | heightAboveRiver |
P221
|
FINISHED |
| Object | about 128 m |
—
|
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 128 m | Statement: [Victoria Falls Bridge, heightAboveRiver, about 128 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightAboveRiver Context triple: [Victoria Falls Bridge, heightAboveRiver, about 128 m]
-
A.
elevationAboveLake
Indicates the vertical height or altitude of something relative to the surface level of a specified lake.
-
B.
elevation
chosen
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
C.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
D.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
E.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
- 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.