Triple

T25889495
Position Surface form Disambiguated ID Type / Status
Subject Tárcoles River E652288 entity
Predicate hasBridge P386 FINISHED
Object Tárcoles River bridge
Tárcoles River bridge is a popular viewing spot in Costa Rica where visitors often stop to observe the large population of American crocodiles in the river below.
 E1699552 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: Tárcoles River bridge | Statement: [Tárcoles River, hasBridge, Tárcoles River bridge]
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: Tárcoles River bridge
Triple: [Tárcoles River, hasBridge, Tárcoles River bridge]
Generated description
Tárcoles River bridge is a popular viewing spot in Costa Rica where visitors often stop to observe the large population of American crocodiles in the river below.

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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603452e3c8190a027cd2a9910c344 completed May 2, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecbcb7e48190b2eb377fce8e4e00 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10edac42ec8190ac894ee9bd658b22 completed May 22, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a10ee53bee48190bc7ab1f9a73c60da completed May 23, 2026, 12:01 a.m.
Created at: April 22, 2026, 8:19 a.m.