Triple
T20604887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tseax Cone |
E506278
|
entity |
| Predicate | lavaFlowName |
P140733
|
FINISHED |
| Object | Tseax lava flow |
—
|
NE NERFINISHED |
How this triple was built (4 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: Tseax lava flow | Statement: [Tseax Cone, lavaFlowName, Tseax lava flow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tseax lava flow Context triple: [Tseax Cone, lavaFlowName, Tseax lava flow]
-
A.
Shetani lava flow
Shetani lava flow is a vast, rugged expanse of black volcanic rock in Kenya, famed for its dramatic landscape and local legends about its fiery origins.
-
B.
McCarty’s lava flow
McCarty’s lava flow is an extensive, relatively young basaltic lava field in New Mexico known for its rugged terrain and striking volcanic landscape within El Malpaís National Monument.
-
C.
Lava
Lava is a legendary prince in the Hindu epic Ramayana, known as one of the twin sons of Rama and Sita.
-
D.
Lava
Lava is a surname most notably borne by American film and television composer William Lava, known for his work on numerous Warner Bros. cartoons and Westerns.
-
E.
Lava
Lava is a Pixar animated musical short film that tells a romantic, volcano-themed love story through a Hawaiian-inspired song.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tseax lava flow Target entity description: The Tseax lava flow is a historic basaltic lava field in northwestern British Columbia, Canada, produced by an eruption of Tseax Cone that caused one of the deadliest volcanic disasters in Canadian history.
-
A.
Shetani lava flow
Shetani lava flow is a vast, rugged expanse of black volcanic rock in Kenya, famed for its dramatic landscape and local legends about its fiery origins.
-
B.
McCarty’s lava flow
McCarty’s lava flow is an extensive, relatively young basaltic lava field in New Mexico known for its rugged terrain and striking volcanic landscape within El Malpaís National Monument.
-
C.
Lava
Lava is a legendary prince in the Hindu epic Ramayana, known as one of the twin sons of Rama and Sita.
-
D.
Lava
Lava is a surname most notably borne by American film and television composer William Lava, known for his work on numerous Warner Bros. cartoons and Westerns.
-
E.
Lava
Lava is a Pixar animated musical short film that tells a romantic, volcano-themed love story through a Hawaiian-inspired song.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lavaFlowName Context triple: [Tseax Cone, lavaFlowName, Tseax lava flow]
-
A.
lavaFlowStyle
Indicates the characteristic manner or pattern in which lava moves and solidifies during a volcanic flow.
-
B.
lavaFlowDestination
Indicates the location or feature toward which a lava flow moves or ultimately comes to rest.
-
C.
lavaFlowSpeed
Indicates the rate at which lava moves or flows from its source over a surface.
-
D.
lavaSource
Indicates that one entity serves as the origin or source from which lava flows or is produced for another entity.
-
E.
schemaName
Indicates that an entity is associated with a particular schema by specifying the name of that schema.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa233e1881908749d2f29c2946e4 |
completed | April 20, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.