Triple

T13764507
Position Surface form Disambiguated ID Type / Status
Subject River Og E330702 entity
Predicate hasName P744 FINISHED
Object River Og E330702 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 Og | Statement: [River Og, hasName, River Og]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Og
Context triple: [River Og, hasName, River Og]
  • A. River Og chosen
    The River Og is a small tributary watercourse in Wiltshire, England, that feeds into the River Kennet.
  • B. River Mein
    River Mein is a small river in Dumfries and Galloway in southwest Scotland, flowing near the village of Ecclefechan.
  • C. River Brun
    River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
  • D. Iton River
    The Iton River is a tributary in northern France that flows through the Normandy region before joining the Eure River.
  • E. Shetrunji River
    The Shetrunji River is a significant river in the Saurashtra (Kathiawar) region of Gujarat, India, known for supporting agriculture and local ecosystems before draining into the Arabian Sea.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f748d481909661deb151da34c1 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 10:10 p.m.