Triple
T6520696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerepakupai Merú |
E148372
|
entity |
| Predicate | uninterruptedDropHeight |
P24531
|
FINISHED |
| Object | 807 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: 807 m | Statement: [Kerepakupai Merú, uninterruptedDropHeight, 807 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uninterruptedDropHeight Context triple: [Kerepakupai Merú, uninterruptedDropHeight, 807 m]
-
A.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
-
B.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
C.
waterfallDrop
chosen
Indicates a vertical or near-vertical descent of water from a higher level to a lower level, as in a waterfall.
-
D.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
E.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.