Triple

T7547756
Position Surface form Disambiguated ID Type / Status
Subject Diksmuide E178449 entity
Predicate locatedNear P294 FINISHED
Object Yser Front E164870 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 Front | Statement: [Diksmuide, locatedNear, Yser Front]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yser Front
Context triple: [Diksmuide, locatedNear, Yser Front]
  • A. Yser Front chosen
    The Yser Front was a key World War I defensive line in western Belgium where Belgian forces halted the German advance along the Yser River.
  • B. Ypres
    Ypres is a historic town in western Belgium that was the site of several major and devastating battles during World War I.
  • C. Battle of the Yser
    The Battle of the Yser was a crucial World War I engagement in October 1914 in which Belgian forces, by flooding low-lying terrain along the Yser River, halted the German advance toward the Channel ports.
  • D. Chemin des Dames ridge
    The Chemin des Dames ridge is a strategically important high ground in northern France that was the scene of intense and costly fighting during World War I.
  • E. Verdun
    Verdun is a borough of Montreal, Quebec, known for its historic waterfront along the St. Lawrence River and its mix of residential neighborhoods and urban amenities.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2b0de48190a854b4d4935c2254 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.