Triple
T16955889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruta 1 |
E411299
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
Ruta 23
Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
|
E1248944
|
NE FINISHED |
How this triple was built (4 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 23 | Statement: [Ruta 1, hasJunctionWith, Ruta 23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruta 23 Context triple: [Ruta 1, hasJunctionWith, Ruta 23]
-
A.
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.
-
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 Nacional 38
Ruta Nacional 38 is a major Argentine highway that runs through several provinces in the northwest, serving as an important corridor for regional connectivity and commerce.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ruta 23 Triple: [Ruta 1, hasJunctionWith, Ruta 23]
Generated description
Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruta 23 Target entity description: Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
-
A.
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.
-
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 Nacional 38
Ruta Nacional 38 is a major Argentine highway that runs through several provinces in the northwest, serving as an important corridor for regional connectivity and commerce.
- F. None of above. chosen
Provenance (5 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_6a012eccd1e48190aa0dc64562d6ff1f |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012f6e3ba4819081aa185f5e968370 |
completed | May 11, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a012fe91b7c8190a420bdd22f487f29 |
completed | May 11, 2026, 1:24 a.m. |
Created at: April 10, 2026, 5:31 a.m.