Triple
T37245841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Fernando |
E923848
|
entity |
| Predicate | locatedInCountryContinent |
P14704
|
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: [San Fernando, locatedInCountryContinent, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCountryContinent Context triple: [San Fernando, locatedInCountryContinent, South America]
-
A.
isInContinent
chosen
Indicates that one place or region is geographically located within the boundaries of a specific continent.
-
B.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
C.
locatedInContinentOfHostCountry
Indicates that something is situated within the continent on which its host country is located.
-
D.
representsCountryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or context.
-
E.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40637f78c48190979824f9ff6a9fdb |
completed | June 27, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.