Triple
T17351292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savica Waterfall |
E421817
|
entity |
| Predicate | upperHeight |
P53989
|
FINISHED |
| Object | about 60 meters |
—
|
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 60 meters | Statement: [Savica Waterfall, upperHeight, about 60 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperHeight Context triple: [Savica Waterfall, upperHeight, about 60 meters]
-
A.
upperTierHeight
chosen
Indicates the vertical measurement or elevation of an upper tier relative to a reference level or structure.
-
B.
heightDescription
Indicates how tall an entity is, typically expressed in descriptive or qualitative terms rather than a precise measurement.
-
C.
heightRestriction
Indicates that there is a limit or constraint on how tall an entity is allowed or required to be in a given context.
-
D.
estimatedHeadHeightInMeters
Indicates the estimated vertical height of a person's head, measured in meters.
-
E.
mastHeight
Indicates the height of a mast relative to a referenced object or measurement standard.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2ca0708190aae8306ec3a6f2a7 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.