Triple
T30729222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choachuno |
E782369
|
entity |
| Predicate | countryOfMunicipality |
P190838
|
FINISHED |
| Object | Colombia |
—
|
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: Colombia | Statement: [Choachuno, countryOfMunicipality, Colombia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfMunicipality Context triple: [Choachuno, countryOfMunicipality, Colombia]
-
A.
isMunicipalityInCountry
chosen
Indicates that a municipality is located within and administratively belongs to a specific country.
-
B.
modernCountryOfCity
Indicates that a city is located within the borders of a specified modern-day country.
-
C.
isCapitalMunicipalityOf
Indicates that a municipality serves as the official capital (administrative center) of a specified larger region, such as a state, province, or country.
-
D.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
E.
topLevelAdministrativeTerritorialEntity
Indicates that one entity is the primary or highest-level administrative territorial division in which the other entity is located or governed.
- 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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 29, 2026, 8:37 p.m.