Triple

T2480779
Position Surface form Disambiguated ID Type / Status
Subject Battle of La Hogue (1692) E55808 entity
Predicate hasOpposingObjective P16720 FINISHED
Object cover French invasion force for landing in England LITERAL 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: cover French invasion force for landing in England | Statement: [Battle of La Hogue (1692), hasOpposingObjective, cover French invasion force for landing in England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpposingObjective
Context triple: [Battle of La Hogue (1692), hasOpposingObjective, cover French invasion force for landing in England]
  • A. opponentObjective chosen
    Indicates that one entity is the target or goal that an opposing entity aims to counter, defeat, or prevent from succeeding.
  • B. hasOpposingSide
    Indicates that one entity possesses or is associated with another entity that lies on the opposite or facing side relative to a reference orientation or boundary.
  • C. hasOpposingFront
    Indicates that one entity’s front side is directly facing or oriented opposite to the front side of another entity.
  • D. hasOpposingForceType
    Indicates that one force is characterized as being of a type that opposes or counteracts another force.
  • E. hasOpposingAlliance
    Indicates that two entities belong to alliances or factions that are in direct opposition or conflict with each other.
  • F. None of above.

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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20b6d008190acec0eb172e218c9 completed March 7, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abd0b7cf088190bcff4dac6150044c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.