Triple

T12310686
Position Surface form Disambiguated ID Type / Status
Subject Battle of Ingolstadt E293468 entity
Predicate usedFortifiedCity P66714 FINISHED
Object Ingolstadt E130045 NE FINISHED

How this triple was built (3 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: Ingolstadt | Statement: [Battle of Ingolstadt, usedFortifiedCity, Ingolstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingolstadt
Context triple: [Battle of Ingolstadt, usedFortifiedCity, Ingolstadt]
  • A. Ingolstadt chosen
    Ingolstadt is a historic city in southern Germany known for its medieval architecture, university tradition, and role as a major hub of the automotive industry.
  • B. Stuttgart
    Stuttgart is a major city in southwestern Germany known as an important industrial, cultural, and economic center, particularly famous for its automotive industry and surrounding wine-growing region.
  • C. Heilbronn
    Heilbronn is a city in the German state of Baden-Württemberg known for its industrial base, wine production, and role as a regional economic and educational hub.
  • D. Gauting
    Gauting is a municipality in the district of Starnberg in Bavaria, Germany, known for its residential character and proximity to Munich.
  • E. Schweinfurt
    Schweinfurt is a city in northern Bavaria, Germany, historically known for its ball bearing industry and as a strategic target during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedFortifiedCity
Context triple: [Battle of Ingolstadt, usedFortifiedCity, Ingolstadt]
  • A. usedFortificationsAt chosen
    Indicates that an entity employed or deployed specific fortifications in a particular context, such as a battle, campaign, or defensive situation.
  • B. isFortifiedCity
    Indicates that a city is strengthened with defensive structures or fortifications, such as walls, ramparts, or similar protective works.
  • C. fortifiedIn
    Indicates that one entity has been strengthened, reinforced, or protected within or by another entity (such as a structure, location, or medium).
  • D. wasFortifiedBy
    Indicates that a place or structure received defensive strengthening or fortification through the actions or resources of a specified agent or entity.
  • E. fortifiedBuilding
    Indicates that a building is strengthened or reinforced for defense against attacks or intrusions.
  • F. None of above.

Provenance (4 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739668f3481909cc7564c3ede2896 completed May 3, 2026, 12:02 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.