Triple

T33358512
Position Surface form Disambiguated ID Type / Status
Subject Arun River E854143 entity
Predicate majorTransboundaryRiverBetween P93095 FINISHED
Object China and Nepal
China and Nepal are neighboring Asian countries that share a long Himalayan border and multiple transboundary rivers, including the Arun River.
 E2053127 NE FINISHED

How this triple was built (3 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: China and Nepal | Statement: [Arun River, majorTransboundaryRiverBetween, China and Nepal]
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: China and Nepal
Triple: [Arun River, majorTransboundaryRiverBetween, China and Nepal]
Generated description
China and Nepal are neighboring Asian countries that share a long Himalayan border and multiple transboundary rivers, including the Arun River.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: majorTransboundaryRiverBetween
Context triple: [Arun River, majorTransboundaryRiverBetween, China and Nepal]
  • A. transboundaryRiverOf chosen
    Indicates that a river crosses or forms the boundary between two or more political or administrative regions.
  • B. transboundaryBasin
    Indicates that a river basin or watershed extends across and is shared by the territories of two or more political or administrative jurisdictions.
  • C. crossBorderRiverSystemOf
    Indicates a river system that flows across or forms the boundary between different political or administrative regions associated with the referenced entity.
  • D. betweenRiver
    Indicates a spatial relationship where something is located in the area separating two rivers or lies in the intermediate region defined by them.
  • E. associatedRiverBasin
    Indicates that one entity is linked to, or lies within the drainage area of, a particular river basin.
  • F. None of above.

Provenance (6 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_69f3496acbc8819099fd0305ecc42080 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff0b6bc4a88190bf1d38c6ea26bcdc completed May 9, 2026, 10:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595968d9c8190adb4f10f44e0869b completed June 19, 2026, 7:16 p.m.
NEDg Description generation batch_6a35966fe39481908df28167e7d613ad completed June 19, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_6a3597a9451c8190ae497a25ac6513be completed June 19, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69ff082a22f4819095ded971dbd8ea7b completed May 9, 2026, 10:10 a.m.
Created at: May 1, 2026, 1:34 a.m.