Triple
T26053221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Molokaʻi Volcano |
E648043
|
entity |
| Predicate | hasSubaerialPart |
P178002
|
FINISHED |
| Object | eastern Molokaʻi landmass |
—
|
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: eastern Molokaʻi landmass | Statement: [East Molokaʻi Volcano, hasSubaerialPart, eastern Molokaʻi landmass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubaerialPart Context triple: [East Molokaʻi Volcano, hasSubaerialPart, eastern Molokaʻi landmass]
-
A.
hasSubaerialExpression
Indicates that a geological feature formed or deposited underwater is exposed or expressed at the Earth’s surface above water.
-
B.
isLandPlant
Indicates that an entity is a plant that primarily lives and grows on land rather than in aquatic environments.
-
C.
hasTerrestrialHabitat
Indicates that an entity lives primarily on land or in a ground-based environment rather than in aquatic or aerial habitats.
-
D.
isGrowingPartOf
Indicates that one entity is an expanding or developing component within the larger whole represented by another entity.
-
E.
hasPlantPart
Indicates that one entity includes, contains, or is composed of a specific plant part of another entity.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 22, 2026, 9:11 a.m.