Triple

T7544537
Position Surface form Disambiguated ID Type / Status
Subject Montpellier E178364 entity
Predicate locatedOnRiver P165 FINISHED
Object Lez River E217992 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: Lez River | Statement: [Montpellier, locatedOnRiver, Lez River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lez River
Context triple: [Montpellier, locatedOnRiver, Lez River]
  • A. Lez River chosen
    The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
  • B. Taz River
    The Taz River is a major river in northwestern Siberia, Russia, that flows through the tundra of the Yamalo-Nenets region before emptying into the Kara Sea in the Arctic Ocean.
  • C. River Lud
    The River Lud is a small river in Lincolnshire, England, that flows through the market town of Louth before joining the River Witham system.
  • D. Kalix River
    The Kalix River is a major free-flowing river in northern Sweden that runs through Norrbotten County before emptying into the Bothnian Bay of the Baltic Sea.
  • E. River Arun
    The River Arun is a major river in West Sussex, England, flowing from the South Downs to the English Channel and historically important for navigation and trade.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de96d58c819086c308396a4a304e completed March 29, 2026, 8:11 a.m.
Created at: March 27, 2026, 3:48 p.m.