Triple
T9222189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ol Doinyo Lengai |
E221588
|
entity |
| Predicate | lavaColor |
P87664
|
FINISHED |
| Object | dark brown to black when molten |
—
|
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: dark brown to black when molten | Statement: [Ol Doinyo Lengai, lavaColor, dark brown to black when molten]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lavaColor Context triple: [Ol Doinyo Lengai, lavaColor, dark brown to black when molten]
-
A.
typicalLavaType
Indicates the usual or characteristic type of lava associated with a given volcanic feature, eruption, or context.
-
B.
hasLavaFlow
Indicates that one entity exhibits, contains, or is associated with a flow of lava originating from volcanic activity.
-
C.
isVolcanic
Indicates that something is characterized by or related to volcanic activity, such as originating from, produced by, or associated with a volcano.
-
D.
typeOfVolcanicFeature
Indicates that one entity is classified as a specific kind or category of volcanic feature represented by the other entity.
-
E.
stoneColor
Indicates that one entity has a particular color attribute associated with a stone.
- 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.