Triple

T27406734
Position Surface form Disambiguated ID Type / Status
Subject Digul River E692021 entity
Predicate hasTributary P415 FINISHED
Object Mappi River
The Mappi River is a waterway in southern Papua, Indonesia, that flows through remote lowland rainforest before joining the larger Digul River system.
 E2293192 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: Mappi River | Statement: [Digul River, hasTributary, Mappi 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: Mappi River
Triple: [Digul River, hasTributary, Mappi River]
Generated description
The Mappi River is a waterway in southern Papua, Indonesia, that flows through remote lowland rainforest before joining the larger Digul 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_69ef5205fc808190ad3efc5525b8e6d6 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62cd702e081909f5549c4aa6b837f completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a7608a4b08190ab4e81879ec7d2ff completed Aug. 11, 2026, 1:08 a.m.
NEDg Description generation batch_6a7a764c9738819090f97477e2b9ad4f completed Aug. 11, 2026, 1:09 a.m.
NED2 Entity disambiguation (via description) batch_6a7a7699b8a08190820146ef928575d5 completed Aug. 11, 2026, 1:10 a.m.
Created at: April 27, 2026, 12:31 p.m.