Triple
T21725648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hualālai Southwest Rift Zone |
E536267
|
entity |
| Predicate | hasSubaerialExpression |
P145105
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hualālai Southwest Rift Zone, hasSubaerialExpression, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubaerialExpression Context triple: [Hualālai Southwest Rift Zone, hasSubaerialExpression, yes]
-
A.
hasSubsurfacePlatforms
Indicates that an entity includes or is equipped with platforms located below the surface or underground.
-
B.
hasSubstrateInfluenceOn
Indicates that one substrate affects, modifies, or determines the behavior, activity, or properties of another entity or process.
-
C.
hasSubphylum
Indicates that one biological entity is classified as a subphylum within the broader taxonomic grouping of another entity.
-
D.
hasTerrestrialHabitat
Indicates that an entity lives primarily on land or in a ground-based environment rather than in aquatic or aerial habitats.
-
E.
hasAerialAppearance
Indicates that something has a visual form or look that is characteristic of being in, from, or related to the air or sky.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd972ed248190bd0d4ac43efccbfd |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:48 p.m.