Triple
T1007537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1883 eruption of Krakatoa |
E21747
|
entity |
| Predicate | ashColumnHeightApproximate |
P23531
|
FINISHED |
| Object | up to 50 km |
—
|
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: up to 50 km | Statement: [1883 eruption of Krakatoa, ashColumnHeightApproximate, up to 50 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ashColumnHeightApproximate Context triple: [1883 eruption of Krakatoa, ashColumnHeightApproximate, up to 50 km]
-
A.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
B.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
C.
totalHeight
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
D.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
-
E.
architecturalHeight
Indicates the measured vertical extent of a structure based on its architectural design, typically from the lowest significant level to the highest architecturally integral point, excluding non-architectural elements like antennas or masts.
- F. None of above. chosen
Provenance (4 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7f2d1b081908eb2df54e91c8c1d |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:41 p.m.