Triple
T33423696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banana Capital of the World |
E855911
|
entity |
| Predicate | appliesToCityInCountry |
P198834
|
FINISHED |
| Object | Ecuador |
—
|
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: Ecuador | Statement: [Banana Capital of the World, appliesToCityInCountry, Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToCityInCountry Context triple: [Banana Capital of the World, appliesToCityInCountry, Ecuador]
-
A.
appliesToCapitalOf
Indicates that a condition, rule, or characteristic is directed toward or relevant specifically to the capital city of a given entity.
-
B.
appliedToCurrentCountry
Indicates that something (such as a rule, setting, or operation) is applied specifically to the country that is currently in context.
-
C.
appliesToCountrySubdivision
Indicates that something (such as a rule, measure, or attribute) is specifically applicable to a particular administrative subdivision within a country (e.g., a state, province, or region).
-
D.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
-
E.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69ff0d800ee88190835e233d9e846cdb |
completed | May 9, 2026, 10:33 a.m. |
Created at: May 1, 2026, 1:36 a.m.