Triple
T33331496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Hombre Dorado |
E853418
|
entity |
| Predicate | continentAssociated |
P50380
|
FINISHED |
| Object | South America |
—
|
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: South America | Statement: [El Hombre Dorado, continentAssociated, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentAssociated Context triple: [El Hombre Dorado, continentAssociated, South America]
-
A.
continentInvolved
Indicates that a particular continent participates in, is affected by, or plays a role in a specified event, process, or relationship.
-
B.
continentB
Indicates that the subject entity is a continent that contains or is associated with the object entity (such as a country, region, or location).
-
C.
alsoContinent
Indicates that two entities share the same continent or that one entity is located on a continent in addition to another.
-
D.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
-
E.
continentalAffiliation
chosen
Indicates the continent with which an entity (such as a country, region, or organization) is associated or belongs.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 1, 2026, 1:34 a.m.