Triple
T34943500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magenta |
E1007790
|
entity |
| Predicate | locatedOnContinentOfCountry |
P11834
|
FINISHED |
| Object | South America |
E1813
|
NE 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: South America | Statement: [Magenta, locatedOnContinentOfCountry, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnContinentOfCountry Context triple: [Magenta, locatedOnContinentOfCountry, South America]
-
A.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
B.
countryLocatedOn
chosen
Indicates that a country is geographically situated on or within the boundaries of a specified landmass, island, or continent.
-
C.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
D.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
E.
representsCountryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or context.
- F. None of above.
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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37b2661dfc8190af9a7b755a7e1aaf |
completed | June 21, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.