Triple
T16955891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruta 1 |
E411299
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
Ruta 21
Ruta 21 is a regional highway in Uruguay that connects several towns in the southwestern part of the country and links with major national routes.
|
E1251906
|
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 21 | Statement: [Ruta 1, hasJunctionWith, Ruta 21]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruta 21 Context triple: [Ruta 1, hasJunctionWith, Ruta 21]
-
A.
Ruta 23
Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
-
B.
Ruta 34
Ruta 34 is a major highway in Uruguay that serves as an important regional connector within the national road network.
-
C.
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.
-
D.
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.
-
E.
Ruta Nacional 33
Ruta Nacional 33 is a scenic Argentine highway in Salta Province, known for traversing dramatic Andean landscapes and connecting the Lerma Valley with the Calchaquí Valleys.
- 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 21 Triple: [Ruta 1, hasJunctionWith, Ruta 21]
Generated description
Ruta 21 is a regional highway in Uruguay that connects several towns in the southwestern part of the country and links with major national routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruta 21 Target entity description: Ruta 21 is a regional highway in Uruguay that connects several towns in the southwestern part of the country and links with major national routes.
-
A.
Ruta 23
Ruta 23 is a numbered highway route, likely part of a national road network that intersects with Ruta 1.
-
B.
Ruta 34
Ruta 34 is a major highway in Uruguay that serves as an important regional connector within the national road network.
-
C.
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.
-
D.
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.
-
E.
Ruta Nacional 33
Ruta Nacional 33 is a scenic Argentine highway in Salta Province, known for traversing dramatic Andean landscapes and connecting the Lerma Valley with the Calchaquí Valleys.
- 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_6a01413a445c8190920fe385d3cd43f3 |
completed | May 11, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_6a0141cadb6c8190b2832e12fd431b0b |
completed | May 11, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014264ff8881909722c262c3f85e1f |
completed | May 11, 2026, 2:43 a.m. |
Created at: April 10, 2026, 5:31 a.m.