Triple

T11801500
Position Surface form Disambiguated ID Type / Status
Subject Chengdu E280635 entity
Predicate hasRiver P165 FINISHED
Object Jin River E267174 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: Jin River | Statement: [Chengdu, hasRiver, Jin River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jin River
Context triple: [Chengdu, hasRiver, Jin River]
  • A. Jin River
    Jin River is a significant waterway in Quanzhou, Fujian Province, known historically for supporting the city’s maritime trade and cultural development.
  • B. Jin River chosen
    Jin River is a major waterway flowing through Chengdu in China’s Sichuan province, historically important to the city’s development and urban landscape.
  • C. Imjin River
    The Imjin River is a major river in the Korean Peninsula that flows through both North and South Korea and is historically significant for its strategic location near the Korean Demilitarized Zone.
  • D. Jintsu River
    Jintsu River is a river in Japan known for flowing through Toyama Prefecture and lending its name to the Imperial Japanese Navy light cruiser IJN Jintsu.
  • E. Jalangi River
    The Jalangi River is a significant distributary of the Ganges in the Indian state of West Bengal, known for its role in regional irrigation, ecology, and local transportation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002d92c9788190aa4523a1e47bc561 completed May 10, 2026, 7:02 a.m.
Created at: April 8, 2026, 9:42 p.m.