Triple
T33976370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quito–Guayaquil |
E871151
|
entity |
| Predicate | connectsCapitalWithLargestCity |
P197191
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Quito–Guayaquil, connectsCapitalWithLargestCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsCapitalWithLargestCity Context triple: [Quito–Guayaquil, connectsCapitalWithLargestCity, true]
-
A.
linkedCapitalCity
Indicates that there is an established association or connection between a given entity and a specific capital city.
-
B.
connectsLargestCitiesOf
Indicates a relationship where something (typically a route, network, or infrastructure) links together the largest cities within a specified region or set.
-
C.
capitalCityConnected
chosen
Indicates that there is a transportation or infrastructural link between a capital city and another location.
-
D.
linksCapitalCity
Indicates a relationship that connects a country or region to its designated capital city.
-
E.
capitalCityAssociation
Indicates a relationship where one entity serves as the capital city of another entity, such as a country, state, or region.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff3fb2318c81908a46c2f513608935 |
completed | May 9, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69ff3e96dcc48190819f6204680d84aa |
completed | May 9, 2026, 2:03 p.m. |
Created at: May 1, 2026, 1:50 a.m.