Triple
T35533080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donut Plains 2 |
E1026856
|
entity |
| Predicate | partOfWorld |
P202529
|
FINISHED |
| Object | Donut Plains |
—
|
NE NERFINISHED |
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: Donut Plains | Statement: [Donut Plains 2, partOfWorld, Donut Plains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWorld Context triple: [Donut Plains 2, partOfWorld, Donut Plains]
-
A.
hasPartOfWorld
Indicates that one entity includes or contains a specific region, section, or portion of the world as a component or subdivision of itself.
-
B.
worldRegion
Indicates that one entity is a geographic region that encompasses, contains, or is associated with the other entity within the world.
-
C.
partOfTerritory
Indicates that one geographic or administrative area is contained within, and forms a constituent portion of, another territory.
-
D.
partOfCountryRegionType
Indicates that one geographic or administrative region is a constituent part of a larger country-level region of a specified type.
-
E.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a008d6085508190a71c52cd028a6297 |
completed | May 10, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a008ced31448190b8fc60bf87b40647 |
completed | May 10, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_6a008d5fe63c8190ab4f5a31c249c674 |
completed | May 10, 2026, 1:51 p.m. |
Created at: May 3, 2026, 4:04 p.m.