Triple

T23563650
Position Surface form Disambiguated ID Type / Status
Subject Nicaragua–Costa Rica border E579310 entity
Predicate hasBorderCrossing P4105 FINISHED
Object Los Chiles border crossing
Los Chiles border crossing is a land port of entry between Nicaragua and Costa Rica, serving as a key transit point for travelers and trade in the northern region of Costa Rica.
E1235269 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: Los Chiles border crossing | Statement: [Nicaragua–Costa Rica border, hasBorderCrossing, Los Chiles 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: Los Chiles border crossing
Triple: [Nicaragua–Costa Rica border, hasBorderCrossing, Los Chiles border crossing]
Generated description
Los Chiles border crossing is a land port of entry between Nicaragua and Costa Rica, serving as a key transit point for travelers and trade in the northern region of Costa Rica.

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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af6a02208190b7d35c4e5da67a44 completed April 29, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f5386e880819083ff2e63d8d30657 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f579b03d881909aa6ea3d79a030fa completed May 21, 2026, 7:06 p.m.
NED2 Entity disambiguation (via description) batch_6a0f581d81f88190aa2299118feb3faa completed May 21, 2026, 7:08 p.m.
Created at: April 17, 2026, 6:32 p.m.