Triple

T20718960
Position Surface form Disambiguated ID Type / Status
Subject Ulúa River E509255 entity
Predicate hasTributary P415 FINISHED
Object Jicatuyo River
The Jicatuyo River is a significant river in Honduras that contributes to the Ulúa River basin and the country’s northwestern drainage system.
 E1649737 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: Jicatuyo River | Statement: [Ulúa River, hasTributary, Jicatuyo River]
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: Jicatuyo River
Triple: [Ulúa River, hasTributary, Jicatuyo River]
Generated description
The Jicatuyo River is a significant river in Honduras that contributes to the Ulúa River basin and the country’s northwestern drainage system.

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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d39bec8190b3642b0d6d833375 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101bc12108819096423d21e6d438a3 completed May 22, 2026, 9:02 a.m.
NEDg Description generation batch_6a102367c6e0819092a483e21fc5cc6c completed May 22, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a10243c77748190a556b0e26d9a2a1c completed May 22, 2026, 9:39 a.m.
Created at: April 16, 2026, 12:26 p.m.