Triple
T16955887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruta 1 |
E411299
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Ruta 5 |
E449980
|
NE 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: Ruta 5 | Statement: [Ruta 1, hasJunctionWith, Ruta 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruta 5 Context triple: [Ruta 1, hasJunctionWith, Ruta 5]
-
A.
Ruta 5
chosen
Ruta 5 is Chile’s main longitudinal highway, running the length of the country as the core section of the Pan-American Highway within Chile.
-
B.
Ruta 3
Ruta 3 is a major national highway in Uruguay that runs through several departments and connects key cities in the country’s road network.
-
C.
Ruta 32
Ruta 32 is a major Costa Rican highway that connects the capital city of San José with the Caribbean port city of Limón, serving as a key route across the country’s central mountains.
-
D.
Ruta 1
Ruta 1 is a major Costa Rican highway that forms part of the Inter-American Highway, connecting the capital San José with key cities and regions to the northwest.
-
E.
Ruta 27
Ruta 27 is a major Costa Rican highway that connects the capital San José with the Pacific coast, serving as a key route for commerce and tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01bb700819082a441c124be3cb6 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232d6360819080ac00b8e56f098d |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.