Triple

T9191165
Position Surface form Disambiguated ID Type / Status
Subject Gap, Dauphiné, France E220590 entity
Predicate locatedOn P40 FINISHED
Object Luce river E462771 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: Luce river | Statement: [Gap, Dauphiné, France, locatedOn, Luce river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luce river
Context triple: [Gap, Dauphiné, France, locatedOn, Luce river]
  • A. Luce river chosen
    The Luce River is a watercourse in northern France that flows through the town of Gap and its surrounding region.
  • B. La Biche River
    La Biche River is a tributary waterway in Alberta, Canada, that feeds into the Athabasca River within the province’s northern boreal region.
  • C. Chassezac River
    The Chassezac River is a scenic tributary of the Ardèche in southern France, known for its gorges, canoeing, and outdoor recreation opportunities.
  • D. Doux River
    The Doux River is a watercourse in southeastern France that flows through the historical Vivarais region of the Ardèche.
  • E. Tresa River
    The Tresa River is a short transboundary river in southern Switzerland and northern Italy that drains Lake Lugano and flows into Lake Maggiore.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bf25c081909e651b67ef8ecc33 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2572f5ccc81909f967dc69a8ae260 completed April 5, 2026, 12:35 p.m.
Created at: March 30, 2026, 7:24 p.m.