Triple

T12132179
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Brussels Metro) E288959 entity
Predicate servesStation P839 FINISHED
Object Yser / IJzer E164297 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: Yser / IJzer | Statement: [Line 2 (Brussels Metro), servesStation, Yser / IJzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yser / IJzer
Context triple: [Line 2 (Brussels Metro), servesStation, Yser / IJzer]
  • A. Yser River chosen
    The Yser River is a short coastal river in northern France and western Belgium that flows into the North Sea and is historically notable for its role in World War I.
  • B. Rupel
    The Rupel is a short river in northern Belgium that flows through the province of Antwerp and joins the Scheldt near the town of Rupelmonde.
  • C. River Zenne
    The River Zenne is a small Belgian river that flows through Brussels and surrounding towns, historically shaping the region’s development and urban landscape.
  • D. Yser basin
    The Yser basin is the catchment area in northern France and western Belgium that collects and channels water flowing into the Yser River before it reaches the North Sea.
  • E. Dieuze
    Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e48957081909c4598e82ab31e1f completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.