Triple

T11682998
Position Surface form Disambiguated ID Type / Status
Subject Eustache Dauger E277664 entity
Predicate imprisonedIn P6022 FINISHED
Object Exilles fortress E607111 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: Exilles fortress | Statement: [Eustache Dauger, imprisonedIn, Exilles fortress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exilles fortress
Context triple: [Eustache Dauger, imprisonedIn, Exilles fortress]
  • A. Fort of Exilles chosen
    Fort of Exilles is a historic alpine fortress in Italy’s Susa Valley, long used to control a key passage between Italy and France.
  • B. Boden Fortress
    Boden Fortress is a historic Swedish military stronghold in Norrbotten, built to defend the northern border and control strategic routes near the town of Boden.
  • C. Hel Fortress
    Hel Fortress was a key Polish coastal stronghold on the Hel Peninsula that served as a major defensive position during the early fighting of World War II.
  • D. Dünamünde Fortress
    Dünamünde Fortress was a former military stronghold near Riga that later served as a state prison, notably used to confine Russian regent Anna Leopoldovna.
  • E. Trondenes Fort
    Trondenes Fort is a coastal artillery fortress near Harstad in northern Norway, notable for its massive World War II-era guns and well-preserved military installations.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a462bb2881909238107d34c0a28d completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef142269d08190a9e5cf8d6268168b completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.