Triple
T27478548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf Volcano |
E693532
|
entity |
| Predicate | lavaFlowDirection_2015 |
P113696
|
FINISHED |
| Object | toward the sea on the east and southeast flanks |
—
|
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: toward the sea on the east and southeast flanks | Statement: [Wolf Volcano, lavaFlowDirection_2015, toward the sea on the east and southeast flanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lavaFlowDirection_2015 Context triple: [Wolf Volcano, lavaFlowDirection_2015, toward the sea on the east and southeast flanks]
-
A.
lavaFlowLength
Indicates the measured or estimated distance that a lava flow extends from its source.
-
B.
lavaFlowSpeed
Indicates the rate at which lava moves or flows from its source over a surface.
-
C.
hasDirectionOfFlow
chosen
Indicates that something moves or is transmitted from one entity or location toward another along a specific path or orientation.
-
D.
lavaFill
Indicates that one entity is filled or covered by lava, typically occupying its interior or surface space.
-
E.
waterfallFlow
Indicates that water moves continuously downward over a vertical or steep drop, forming a waterfall-like flow between locations or surfaces.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e463b8c8190822be73c3270fe16 |
completed | May 2, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:58 p.m.