Triple

T3811874
Position Surface form Disambiguated ID Type / Status
Subject Bishopric of Ypres E93154 entity
Predicate episcopalSee P2276 FINISHED
Object Ypres E92602 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: Ypres | Statement: [Bishopric of Ypres, episcopalSee, Ypres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ypres
Context triple: [Bishopric of Ypres, episcopalSee, Ypres]
  • A. Ypres chosen
    Ypres is a historic town in western Belgium that was the site of several major and devastating battles during World War I.
  • B. Armentières
    Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
  • C. Yser Front
    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.
  • D. St. Vith
    St. Vith is a town in eastern Belgium that became a strategically important battleground during World War II, particularly noted for its role in the Battle of the Bulge.
  • E. Delville Wood
    Delville Wood is a forest on the Somme in northern France that was the site of intense fighting during the Battle of the Somme in World War I, particularly noted for the heavy losses suffered by South African troops.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80faaa88190b05f8aec8aa5c44d completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f3590c8190b18e2e9dfd84cbcd completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:16 p.m.