Triple

T13149447
Position Surface form Disambiguated ID Type / Status
Subject Exeter to Barnstaple line E312424 entity
Predicate followsRiver P3624 FINISHED
Object River Yeo E296813 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: River Yeo | Statement: [Exeter to Barnstaple line, followsRiver, River Yeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Yeo
Context triple: [Exeter to Barnstaple line, followsRiver, River Yeo]
  • A. River Yeo chosen
    River Yeo is a small river in North Somerset, England, that flows through rural villages and farmland before joining the River Avon system.
  • B. Yeong River
    The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
  • C. Yong River
    The Yong River is a major waterway in Guangxi, China, flowing through the regional capital Nanning and playing an important role in its transport, ecology, and urban landscape.
  • D. Geum River
    The Geum River is a major river in western South Korea that flows through the central region before emptying into the Yellow Sea.
  • E. Louhajang River
    The Louhajang River is a regional waterway in central Bangladesh that flows through Tangail District and supports local agriculture, fisheries, and 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaea3f888190b47ed7bf1c52e7e7 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.