Triple
T30222673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa Reach |
E768391
|
entity |
| Predicate | isPartOfFeatureClass |
P39038
|
FINISHED |
| Object | channel reach |
—
|
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: channel reach | Statement: [Europa Reach, isPartOfFeatureClass, channel reach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfFeatureClass Context triple: [Europa Reach, isPartOfFeatureClass, channel reach]
-
A.
hasFeatureClass
chosen
Indicates that an entity is associated with, or categorized under, a particular feature class that characterizes its type or nature.
-
B.
isFeatureOf
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
-
C.
isPartOfSystemWithFeature
Indicates that one entity belongs to a system that possesses a specified feature or characteristic.
-
D.
withinFeature
Indicates that one entity is spatially contained inside or lies entirely within the bounds of another feature.
-
E.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 29, 2026, 7:35 p.m.