Triple
T9222188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ol Doinyo Lengai |
E221588
|
entity |
| Predicate | lavaTemperature |
P87663
|
FINISHED |
| Object | approximately 500–600 °C |
—
|
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: approximately 500–600 °C | Statement: [Ol Doinyo Lengai, lavaTemperature, approximately 500–600 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lavaTemperature Context triple: [Ol Doinyo Lengai, lavaTemperature, approximately 500–600 °C]
-
A.
typicalLavaType
Indicates the usual or characteristic type of lava associated with a given volcanic feature, eruption, or context.
-
B.
eruptionHeight
Indicates the vertical distance or altitude reached by an eruption from its source.
-
C.
magmaticVolume
Indicates the amount of magma involved or produced in a magmatic process or event.
-
D.
hasLavaDomes
Indicates that the subject volcano possesses one or more lava domes as part of its structure or eruptive features.
-
E.
hasLavaFlow
Indicates that one entity exhibits, contains, or is associated with a flow of lava originating from volcanic activity.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda76e3648190af9e24381db7679a |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:28 p.m.