Triple

T37852209
Position Surface form Disambiguated ID Type / Status
Subject Tano River E944083 entity
Predicate hasTributary P415 FINISHED
Object Disue River
The Disue River is a lesser-known tributary waterway that feeds into Ghana’s Tano River within the West African river system.
 E2294644 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: Disue River | Statement: [Tano River, hasTributary, Disue 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: Disue River
Triple: [Tano River, hasTributary, Disue River]
Generated description
The Disue River is a lesser-known tributary waterway that feeds into Ghana’s Tano River within the West African river 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_69f76eed4d9c81908b1b71ba9e3b61fe completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb24ac0dc819099fb3a2d4551371c completed May 6, 2026, 9:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c07731c688190b574f3c954788d73 completed Aug. 12, 2026, 5:41 a.m.
NEDg Description generation batch_6a7c0863dee08190998b2b0e796e3b93 completed Aug. 12, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_6a7c08bab3e8819098b483c9dbe4eeec completed Aug. 12, 2026, 5:46 a.m.
Created at: May 3, 2026, 4:19 p.m.