Triple
T18390044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogotá–Tunja highway |
E449698
|
entity |
| Predicate | connectsCapitalTo |
P60933
|
FINISHED |
| Object | historic Andean city of Tunja |
—
|
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: historic Andean city of Tunja | Statement: [Bogotá–Tunja highway, connectsCapitalTo, historic Andean city of Tunja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsCapitalTo Context triple: [Bogotá–Tunja highway, connectsCapitalTo, historic Andean city of Tunja]
-
A.
connectsCapital
Indicates a relationship where one entity serves as the capital city that is officially linked to or associated with another entity, such as a country or region.
-
B.
hasCapitalConnected
Indicates that there is a direct connection or linkage between an entity and its capital city.
-
C.
connectsCapitalToBorder
Indicates a relationship where a capital city is linked or directly connected to a border location or boundary.
-
D.
connectsCapitalWithRegion
Indicates a relationship where a capital city is linked or associated with the larger region it belongs to.
-
E.
connectsCityTo
chosen
Indicates a relationship in which a route, infrastructure, or link joins one city to another, enabling connection or interaction between them.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518416bc48190a20fa66c43d545d9 |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.