Triple

T34745526
Position Surface form Disambiguated ID Type / Status
Subject Peru–Bolivia border E1001625 entity
Predicate hasBorderCrossing P4105 FINISHED
Object Desaguadero border crossing
The Desaguadero border crossing is a key land checkpoint and transit hub between Peru and Bolivia, located near Lake Titicaca along the Desaguadero River.
E2110649 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: Desaguadero border crossing | Statement: [Peru–Bolivia border, hasBorderCrossing, Desaguadero border crossing]
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: Desaguadero border crossing
Triple: [Peru–Bolivia border, hasBorderCrossing, Desaguadero border crossing]
Generated description
The Desaguadero border crossing is a key land checkpoint and transit hub between Peru and Bolivia, located near Lake Titicaca along the Desaguadero River.

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_69f76db0367081909b57c50a7fb03025 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f779d317f88190bf3491fa92b555f8 completed May 3, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a375bf956c08190af8de253379f50b7 completed June 21, 2026, 3:35 a.m.
NEDg Description generation batch_6a375d09dfbc81909eddba9593dafbb2 completed June 21, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_6a3760f4f2c88190998d890243e41710 completed June 21, 2026, 3:56 a.m.
Created at: May 3, 2026, 3:59 p.m.